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香港科技大学理学院老师教师导师介绍简介-Bing-yi JING

本站小编 Free考研考试/2022-01-30

Bing-yi JING
荆炳义
PhD in Statistics
The University of Sydney, 1993

Professor
Department of Mathematics



(852) 2358 7458
majing@ust.hk
Room 3437
Personal Web

Google Scholar
RYOsjpoAAAAJ

ORCID
0000-0002-8876-1570

Scopus ID
35214995000




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest
Statistical machine learning



Publications
All Years 92 2022 0 2021 4 2020 0 2019 0 2018 3 2017 3 2016 82





2021 4

Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data
Journal of the Royal Statistical Society. Series C: Applied Statistics, v. 70, (3), June 2021, p. 558-578
Zhu, Yingqiu; Deng, Qiong; Huang, Danyang; Jing, Bing-yi; Zhang, Bo Article
Collaborative Filtering With Awareness of Social Networks
Journal of Business and Economic Statistics, August 2021
Yu, Xianshi; Li, Ting; Ying, Ningchen; Jing, Bing-yi Article
Community detection on mixture multi-layer networks via regularised tensor decomposition
Annals of Statistics, v. 49, (6), December 2021, p. 3181-3205
Jing, Bing-Yi; Li, Ting; Lyu, Zhongyuan; Xia, Dong Article
Crawling subsampling for multivariate spatial autoregression model in large-scale networks
Electronic Journal of Statistics, v. 15, (2), 2021, p. 3678-3707
Hu, Wei; Huang, Danyang; Jing, Bingyi; Zhang, Bo Article

2018 3

Estimating the Integrated Volatility Using High-frequency Data With Zero Durations
Journal of Econometrics, v. 204, (1), May 2018, p. 18-32
Liu, Zhi; Kong, Xinbing; Jing, Bing-yi Article
Fused-MCP With Application to Signal Processing
Journal of Computational and Graphical Statistics, v. 27, (4), 2018, p. 872-886
Jing, Bing-yi; Yang, Guangren; Yu, Xianshi; Zhang, Cunhui Article
On Estimation of Hurst Parameter Under Noisy Observations
Journal of Business and Economic Statistics, v. 36, (3), July 2018, p. 483-492
Liu, Guangying; Jing, Bing-yi Article

2017 3

Estimating Volatility Functionals With Multiple Transactions
Econometric Theory, v. 33, (2), April 2017, p. 331-365
Jing, Bing Yi; Liu, Zhi; Kong, Xinbing Article
Nonparametric Regression with Nearly Integrated Regressors Under Long-Run Dependence
Econometrics Journal, v. 20, (1), February 2017, p. 118-138
Cai, Zongwu; Jing, Bing Yi; Kong, Xinbing; Liu, Zhi Article
Transforming the Empirical Likelihood towards better accuracy
Canadian Journal of Statistics-revue Canadienne De Statistique, v. 45, (3), September 2017, p. 340-352
Jing, Bing-Yi; Tsao, Min; Zhou, Wang Article

2016 2

On SURE-Type Double Shrinkage Estimation
Journal of the American Statistical Association, v. 111, (516), October 2016, p. 1696-1704
Jing, Bing-Yi; Li, Zhouping; Pan, Guangming; Zhou, Wang Article
Spline-Lasso in High-Dimensional Linear Regression
Journal of the American Statistical Association, v. 111, (513), May 2016, p. 288-297
Guo, Jianhua; Hu, Jianchang; Jing, Bing Yi; Zhang, Zhen Article

2015 4

Feature subset selection using naive Bayes for text classification
Pattern Recognition Letters, v. 65, August 2015, article number 6297, p. 109-115
Feng, Guozhong; Guo, Jianhua; Jing, Bingyi; Sun, Tieli Article
Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
Journal of the American Statistical Association, v. 110, (510), April 2015, p. 867-877
Li, Shaoting; Chen, Jiahua; Guo, Jianhua; Jing, Bing Yi; Tsang, Shui Ying; Xue, Hong Article
Regularized maximum correntropy machine
Neurocomputing, v. 160, July 2015, p. 85-92
Wang, Jim Jing-Yan; Wang, Yunji; Jing, Bing-Yi; Gao, Xin Article
Testing for pure-jump processes for high-frequency data
Annals of Statistics, v. 43, (2), April 2015, p. 847-877
Kong, Xin-Bing; Liu, Zhi; Jing, Bing Yi Article

2014 5

An automated framework for NMR resonance assignment through simultaneous slice picking and spin system forming
Journal of Biomolecular NMR, v. 59, (2), 2014, p. 75-86
Abbas, Ahmed; Guo, Xianrong; Jing, Bing-Yi; Gao, Xin Article
Cramér-Type Moderate Deviation for Studentized Compound Poisson Sum
Journal of Theoretical Probability, v. 28, (4), December 2015, p. 1556-1570
Jing, Bing yi; Wang, Qiying; Zhou, Wang Article
FDR CONTROL IN MULTIPLE TESTING UNDER NON-NORMALITY
Statistica Sinica, v. 24, (4), October 2014, p. 1879-1899
Jing, Bing-Yi; Kong, Xin-Bing; Zhou, Wang Article
On integrated volatility of It? semimartingales when sampling times are endogenous
Communications in Statistics - Theory and Methods, v. 43, (24), December 2014, p. 5263-5275
Li, C.X.; Chen, J.Y.; Liu, Z.; Jing, Bing-Yi Article
On the Estimation of Integrated Volatility With Jumps and Microstructure Noise
Journal of Business and Economic Statistics, v. 32, (3), July 2014, p. 457-467
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing Article

2013 5

Automatic Peak Selection by a Benjamini-Hochberg-Based Algorithm
PLoS ONE, v. 8, (1), January 2013, article number e53112
Abbas, Ahmed; Kong, Xin-Bing; Liu, Zhi; Jing, Bing-Yi; Gao, Xin Article
Evaluating the hedging error in price processes with jumps present
Statistics and its Interface, v. 6, (4), 2013, p. 413-425
Jing, Bing Yi; Kong, X.B.; Liu, Z.; Zhang, B. Article
On Estimating the Integrated Co-Volatility Using Noisy High-Frequency Data with Jumps
Communications in Statistics - Theory and Methods, v. 42, (21), November 2013, p. 3889-3901
Jing, Bing-Yi; Li, Cui-Xia; Liu, Zhi Article
Social Cognitive Role of Schizophrenia Candidate Gene GABRB2
PLoS ONE, v. 8, (4), April 2013, article number e62322
Tsang, Shui Ying; Zhong, Songfa; Mei, Lingling; Chen, Jianhuan; Ng, S.; Pun, Frank Wing; Zhao, Cunyou; Jing, Bingyi; Chark, Robin; Guo, Jianhua; Tan, Yunlong; Li, Junli; Wang, Chuanyue; Chew, Soo Hong; Xue, Hong Article
The asymptotics of the integrated self-weighted cross volatility estimator
Journal of Statistical Planning and Inference, v. 143, (10), October 2013, p. 1708-1718
Li, Cui-Xia; Liang, Xiao-Lin; Jing, Bing-Yi; Kong, Xin-Bing Article

2012 6

A Bayesian feature selection paradigm for text classification
Information processing & management, v. 48, (2), 2012, p. 283-302
Feng, G.; Guo, J.; Jing, Bing-Yi; Hao, L. Article
Jackknife empirical likelihood method for case-control studies with gene-environment independence on controls
Statistics and Its Interface, v. 5, 2012, p. 293-302
Jing, Bing-Yi; Li, Zhouping; Qin, Jing; Zhou, Wang Article
Modeling high-frequency financial data by pure jump processes
The Annals of Statistics, v. 40, (2), April 2012, p. 759-784
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi Article
On the jump activity index for semimartingales
Journal of econometrics, v. 166, (2), 2012, p. 213-223
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi; Mykland, P. Article
Self-normalized moderate deviations for independent random variables
Science China. Mathematics, v. 55, (11), November 2012, p. 2297-2315
Jing, BingYi; Liang, HanYing; Zhou, Wang Article
WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering
Bioinformatics, v. 28, (7), April 2012, p. 914-920
Liu, Zhi; Abbas, Ahmed; Jing, Bing-Yi; Gao, Xin Article

2011 2

Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity
Statistical methods in medical research, v. 20, (3), June 2011, p. 217-231
Qin, Gengsheng; Davis, Angela E.; Jing, Bing-Yi Article
Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data
Journal of the American Statistical Association, v. 106, (494), June 2011, p. 558-568
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi Article

2010 3

A note on minimal d-separation trees for structural learning
Artificial intelligence, v. 174, (5-6), 2010, APR, p. 442-448
Liu, Binghui; Guo, Jianhua; Jing, Bing-Yi Article
Nonparametric estimate of spectral density functions of sample covariance matrices: A first step
Annals of Statistics, v. 38, (6), 2010, p. 3724-3750
Jing, Bing-Yi; Pan, G.; Shao, Q.M.; Zhou, W. Article
Testing for diffusion in a discretely observed semimartingale
Journal of the Korean Statistical Society, v. 39, (3, Sp. Iss. SI), 2010, SEP, p. 357-370
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing Article

2009 6

A unified approach to Edgeworth expansions for studentized statistics
Statistica Sinica, v. 20, (2), 2010, APR, p. 613-636
Jing, Bing Yi; Wang, Qiying Article
Asymptotic normality in partial linear models based on dependent errors
Journal of statistical planning and inference, v. 139, (4), 2009, APR 1, p. 1357-1371
Liang, Han-Ying; Jing, Bing-Yi Article
Jackknife Empirical Likelihood
Journal of the American Statistical Association, v. 104, (487), 2009, SEP, p. 1224-1232
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang Article
On normal approximations to U -statistics
Annals of Probability, v. 37, (6), 2009, November, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang Article
ON NORMAL APPROXIMATIONS TO U-STATISTICS
Annals of probability, v. 37, (6), 2009, NOV, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang Article
Stochastic regression and its application to hedging in finance
Science in China Series a-mathematics, v. 52, (6), 2009, JUN, p. 1365-1372
Jing, BingYi; Kong, XinBing; Liu, Zhi; Zhang, Bo Article

2008 4

Empirical likelihood for non-degenerate U-statistics
Statistics & probability letters, v. 78, (6), 2008, APR 15, p. 599-607
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang Article
Strong limit theorems for weighted sums of negatively associated random variables
Journal of theoretical probability, v. 21, (4), 2008, DEC, p. 890-909
Jing, Bing-Yi; Liang, Han-Ying Article
Towards a universal self-normalized moderate deviation
Transactions of the American Mathematical Society, v. 360, (8), 2008, p. 4263-4285
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
Limit Theorems for U-statistics
Asymptotic Theory in Probability and Statistics with Applications / Edited by Tze-Leung Lai, Lianfen Qian, Qi-Man Shao. Somerville, Mass.: International Press; Beijing: Higher Education Press, c2008, p. 254-273
Jing, Bing Yi Book chapter

2007 2

Limiting distributions of the non-central t-statistic and their applications to the power of t-tests under non-normality
Bernoulli, v. 13, (2), 2007, MAY, p. 346-364
Bentkus, Vidmantas; Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
The LIL for the Bickel-Rosenblatt test statistic
Journal of statistical planning and inference, v. 137, (6), 2007, JUN 1, p. 1829-1837
Liang, Han-Ying; Jing, Bing-Yi Article

2006 2

Edgeworth expansion and bootstrap approximation for studentized product-limit estimator with truncated and censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 35, (4), 2006, p. 609-623
Wang, QH; Jing, Bing Yi Article
Tail probability approximations for Student's t-statistics
Probability theory and related fields, v. 136, (4), 2006, DEC, p. 541-559
Zhou, Wang; Jing, Bing-Yi Article

2005 3

A note on edgeworth expansions for U-statistics under minimal conditions
Lithuanian Mathematical Journal, v. 45, (3), 2005, p. 353-358
Jing, Bing-Yi; Zhou, W. Article
Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
Journal of multivariate analysis, v. 95, (2), 2005, AUG, p. 227-245
Liang, HY; Jing, Bing Yi Article
Estimation by method of moment under two-sample location-scale model with random censorship
Journal of nonparametric statistics, v. 17, (1), 2005, JAN-FEB, p. 1-14
Wang, QH; Jing, BY Article

2004 4

Saddlepoint approximation for Student's t-statistic with no moment conditions
The Annals of Statistics, v. 32, (6), December 2004, p. 2679-2711
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
Saddlepoint approximations to the trimmed mean
Bernoulli, v. 10, (3), 2004, JUN, p. 465-501
Helmers, R.; Jing, BingYi; Qin, GS; Zhou, W. Article
Weighted bootstrap for U-statistics
Journal of multivariate analysis, v. 91, (2), 2004, NOV, p. 177-198
Wang, QY; Jing, Bing Yi Article
Limit theorems for independent self-normalized sums
PROBABILITY, FINANCE AND INSURANCE, 2004, p. 69-81
Jing, BY Conference paper

2003 7

Adjusted empirical likelihood method for quantiles
Annals of the Institute of Statistical Mathematics, v. 55, (4), 2003, DEC, p. 689-703
Zhou, W.; Jing, Bing Yi Article
Edgeworth expansion for U-statistics under minimal conditions
The Annals of Statistics, v. 31, (4), 2003, AUG, p. 1376-1391
Jing, Bing Yi; Wang, QY Article
Edgeworth expansion in censored linear regression model
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, p. 597-617
Qin, Gensheng; Jing, Bing-Yi Article
Empirical likelihood confidence regions for comparison distributions and ROC curves
CANADIAN journal OF statistics-revue CANADIENNE DE statistique, v. 31, (2), 2003, JUN, p. 173-190
Claeskens, G.; Jing, Bing Yi; Peng, L.; Zhou, W. Article
Empirical likelihood for partial linear models
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, SEP, p. 585-595
Wang, QH; Jing, Bing Yi Article
Self-normalized Cramer-type large deviations for independent random variables
The Annals of Probability, v. 31, (4), 2003, OCT, p. 2167-2215
Jing, Bing Yi; Shao, Qiman; Wang, Qiying Article
Smoothed empirical likelihood confidence intervals for the difference of quantiles
Statistica Sinica, v. 13, (1), 2003, JAN, p. 83-95
Zhou, Wenwen; Jing, Bing Yi Article

2002 3

Partial saddlepoint approximations for transformed means
Scandinavian journal of statistics, v. 29, (4), 2002, DEC, p. 721-731
Jing, Bing Yi; Kolassa, JE; Robinson, J. Article
Saddlepoint approximations for functions of means from several populations
Chinese J. Appl. Probab. Statist., 18, pp. 13-18
Jing, Bing-Yi; Li, Zehui Article
Strong consistency of estimators for heteroscedastic partly linear regression model under dependent samples
Journal of Applied Mathematics and Stochastic Analysis, v. 15, (3), 2002, p. 207-218
Liang, Han Ying; Jing, Bing Yi Article

2001 4

Censored partial linear models and empirical likelihood
Journal of multivariate analysis, v. 78, (1), 2001, JUL, p. 37-61
Qin, GS; Jing, Bing Yi Article
Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data
Annals of the Institute of Statistical Mathematics, v. 53, (3), 2001, SEP, p. 517-527
Wang, QH; Jing, Bing Yi Article
Empirical likelihood for censored linear regression
Scandinavian journal of statistics, v. 28, (4), 2001, DEC, p. 661-673
Qin, Gengsheng; Jing, Bing Yi Article
Empirical likelihood for Cox regression model under random censorship
COMMUNICATIONS in statistics-simulation and Computation, v. 30, (1), 2001, p. 79-90
Qin, GS; Jing, Bing Yi Article

2000 6

A martingale-based bootstrap inference with censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (2), 2000, p. 401-415
Wang, QH; Jing, Bing Yi Article
Asymptotic properties for estimation of partial linear models with censored data
Journal of statistical planning and inference, v. 84, (1-2), 2000, MAR 1, p. 95-110
Qin, G.; Jing, Bing Yi Article
Local asymptotic normality and asymptotical minimax efficiency of the MLE under random censorship
Science in China Series a-mathematics PHYSICS ASTRONOMY, v. 43, (6), 2000, JUN, p. 591-600
Wang, QH; Jing, Bing Yi Article
Some results about the NBUC class of life distributions
Statistics & Probability Letters, v. 46, (3), February 2000, p. 229-237
Li, Xiaohu; Li, Zehui; Jing, Bing Yi Article
Test for new better than used in convex ordering
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (12), 2000, p. 2751-2760
Li, XH; Zhong, CK; Jing, Bing Yi Article
The Berry-Esseen bound for Studentized statistics
Annals of probability, v. 28, (1), 2000, JAN, p. 511-535
Wang, QY; Jing, Bing Yi; Zhao, LC Article

1999 2

An exponential nonuniform Berry-Esseen bound for self-normalized sums
Annals of probability, v. 27, (4), 1999, OCT, p. 2068-2088
Wang, QY; Jing, Bing Yi Article
Empirical likelihood for partial linear models with fixed designs
Statistics & probability letters, v. 41, (4), 1999, FEB 15, p. 425-433
Wang, QH; Jing, Bing Yi Article

1998 2

On the sampling window method for long-range dependent data
Statistica Sinica, v. 8, (4), 1998, OCT, p. 1189-1204
Hall, P.; Jing, Bing Yi; Lahiri, SN Article
Saddlepoint approximations to the two-sample permutation tests
Acta Mathematicae Applicatae Sinica, v. 14, (2), 1998, p. 197-201
Jing, Bing Yi Article

1997 2

On the relative performance of the block bootstrap for dependent data
COMMUNICATIONS in statistics-theory and METHODS, v. 26, (6), 1997, p. 1313-1328
Jing, Bing Yi Article
Two-sample nonparametric tilting method
Australian journal of statistics, v. 39, (1), 1997, APR, p. 25-34
Jing, BY; Robinson, J. Article

1996 3

Exponential empirical likelihood is not Bartlett correctable
The Annals of Statistics, v. 24, (1), 1996, FEB, p. 365-369
Jing, Bing Yi; Wood, ATA Article
Global tilting method
Statistics & probability letters, v. 28, (3), 1996, JUL, p. 219-226
Jing, Bing Yi Article
Improved pivotal methods for constructing confidence regions with directional data
Journal of the American Statistical Association, v. 91, (435), 1996, SEP, p. 1062-1070
Hall, P.; Jing, Bing Yi; Wood, ATA Article

1995 3

ON BLOCKING RULES FOR THE BOOTSTRAP WITH DEPENDENT DATA
Biometrika, v. 82, (3), 1995, SEP, p. 561-574
HALL, P.; HOROWITZ, JL; JING, BING YI Article
Some Resampling Procedures under Symmetry
Australian Journal of Statistics, v. 37, (3), 1995, p. 337-344
Jing, Bing Yi Article
Two-sample Empirical Likelihood Method
Statistics and Probability Letters, v. 24, (4), 1995, p. 315-319
Jing, Bing Yi Article

1994 2

Bahadur Slopes For Comparisons Of Tests Based On Resampling
Australian Journal of Statistics, v. 36, (3), 1994, p. 355-362
Jing, Bing Yi Article
On the bootstrap saddlepoint approximations
Biometrika, v. 81, (1), 1994, p. 211-215
Jing, Bingyi; Feuerverger, Andrey; Robinson, John Article





Article 4

Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data
Journal of the Royal Statistical Society. Series C: Applied Statistics, v. 70, (3), June 2021, p. 558-578
Zhu, Yingqiu; Deng, Qiong; Huang, Danyang; Jing, Bing-yi; Zhang, Bo
Collaborative Filtering With Awareness of Social Networks
Journal of Business and Economic Statistics, August 2021
Yu, Xianshi; Li, Ting; Ying, Ningchen; Jing, Bing-yi
Community detection on mixture multi-layer networks via regularised tensor decomposition
Annals of Statistics, v. 49, (6), December 2021, p. 3181-3205
Jing, Bing-Yi; Li, Ting; Lyu, Zhongyuan; Xia, Dong
Crawling subsampling for multivariate spatial autoregression model in large-scale networks
Electronic Journal of Statistics, v. 15, (2), 2021, p. 3678-3707
Hu, Wei; Huang, Danyang; Jing, Bingyi; Zhang, Bo





Article 3

Estimating the Integrated Volatility Using High-frequency Data With Zero Durations
Journal of Econometrics, v. 204, (1), May 2018, p. 18-32
Liu, Zhi; Kong, Xinbing; Jing, Bing-yi
Fused-MCP With Application to Signal Processing
Journal of Computational and Graphical Statistics, v. 27, (4), 2018, p. 872-886
Jing, Bing-yi; Yang, Guangren; Yu, Xianshi; Zhang, Cunhui
On Estimation of Hurst Parameter Under Noisy Observations
Journal of Business and Economic Statistics, v. 36, (3), July 2018, p. 483-492
Liu, Guangying; Jing, Bing-yi





Article 3

Estimating Volatility Functionals With Multiple Transactions
Econometric Theory, v. 33, (2), April 2017, p. 331-365
Jing, Bing Yi; Liu, Zhi; Kong, Xinbing
Nonparametric Regression with Nearly Integrated Regressors Under Long-Run Dependence
Econometrics Journal, v. 20, (1), February 2017, p. 118-138
Cai, Zongwu; Jing, Bing Yi; Kong, Xinbing; Liu, Zhi
Transforming the Empirical Likelihood towards better accuracy
Canadian Journal of Statistics-revue Canadienne De Statistique, v. 45, (3), September 2017, p. 340-352
Jing, Bing-Yi; Tsao, Min; Zhou, Wang





Article 2

On SURE-Type Double Shrinkage Estimation
Journal of the American Statistical Association, v. 111, (516), October 2016, p. 1696-1704
Jing, Bing-Yi; Li, Zhouping; Pan, Guangming; Zhou, Wang
Spline-Lasso in High-Dimensional Linear Regression
Journal of the American Statistical Association, v. 111, (513), May 2016, p. 288-297
Guo, Jianhua; Hu, Jianchang; Jing, Bing Yi; Zhang, Zhen





Article 4

Feature subset selection using naive Bayes for text classification
Pattern Recognition Letters, v. 65, August 2015, article number 6297, p. 109-115
Feng, Guozhong; Guo, Jianhua; Jing, Bingyi; Sun, Tieli
Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
Journal of the American Statistical Association, v. 110, (510), April 2015, p. 867-877
Li, Shaoting; Chen, Jiahua; Guo, Jianhua; Jing, Bing Yi; Tsang, Shui Ying; Xue, Hong
Regularized maximum correntropy machine
Neurocomputing, v. 160, July 2015, p. 85-92
Wang, Jim Jing-Yan; Wang, Yunji; Jing, Bing-Yi; Gao, Xin
Testing for pure-jump processes for high-frequency data
Annals of Statistics, v. 43, (2), April 2015, p. 847-877
Kong, Xin-Bing; Liu, Zhi; Jing, Bing Yi





Article 5

An automated framework for NMR resonance assignment through simultaneous slice picking and spin system forming
Journal of Biomolecular NMR, v. 59, (2), 2014, p. 75-86
Abbas, Ahmed; Guo, Xianrong; Jing, Bing-Yi; Gao, Xin
Cramér-Type Moderate Deviation for Studentized Compound Poisson Sum
Journal of Theoretical Probability, v. 28, (4), December 2015, p. 1556-1570
Jing, Bing yi; Wang, Qiying; Zhou, Wang
FDR CONTROL IN MULTIPLE TESTING UNDER NON-NORMALITY
Statistica Sinica, v. 24, (4), October 2014, p. 1879-1899
Jing, Bing-Yi; Kong, Xin-Bing; Zhou, Wang
On integrated volatility of It? semimartingales when sampling times are endogenous
Communications in Statistics - Theory and Methods, v. 43, (24), December 2014, p. 5263-5275
Li, C.X.; Chen, J.Y.; Liu, Z.; Jing, Bing-Yi
On the Estimation of Integrated Volatility With Jumps and Microstructure Noise
Journal of Business and Economic Statistics, v. 32, (3), July 2014, p. 457-467
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing





Article 5

Automatic Peak Selection by a Benjamini-Hochberg-Based Algorithm
PLoS ONE, v. 8, (1), January 2013, article number e53112
Abbas, Ahmed; Kong, Xin-Bing; Liu, Zhi; Jing, Bing-Yi; Gao, Xin
Evaluating the hedging error in price processes with jumps present
Statistics and its Interface, v. 6, (4), 2013, p. 413-425
Jing, Bing Yi; Kong, X.B.; Liu, Z.; Zhang, B.
On Estimating the Integrated Co-Volatility Using Noisy High-Frequency Data with Jumps
Communications in Statistics - Theory and Methods, v. 42, (21), November 2013, p. 3889-3901
Jing, Bing-Yi; Li, Cui-Xia; Liu, Zhi
Social Cognitive Role of Schizophrenia Candidate Gene GABRB2
PLoS ONE, v. 8, (4), April 2013, article number e62322
Tsang, Shui Ying; Zhong, Songfa; Mei, Lingling; Chen, Jianhuan; Ng, S.; Pun, Frank Wing; Zhao, Cunyou; Jing, Bingyi; Chark, Robin; Guo, Jianhua; Tan, Yunlong; Li, Junli; Wang, Chuanyue; Chew, Soo Hong; Xue, Hong
The asymptotics of the integrated self-weighted cross volatility estimator
Journal of Statistical Planning and Inference, v. 143, (10), October 2013, p. 1708-1718
Li, Cui-Xia; Liang, Xiao-Lin; Jing, Bing-Yi; Kong, Xin-Bing





Article 6

A Bayesian feature selection paradigm for text classification
Information processing & management, v. 48, (2), 2012, p. 283-302
Feng, G.; Guo, J.; Jing, Bing-Yi; Hao, L.
Jackknife empirical likelihood method for case-control studies with gene-environment independence on controls
Statistics and Its Interface, v. 5, 2012, p. 293-302
Jing, Bing-Yi; Li, Zhouping; Qin, Jing; Zhou, Wang
Modeling high-frequency financial data by pure jump processes
The Annals of Statistics, v. 40, (2), April 2012, p. 759-784
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi
On the jump activity index for semimartingales
Journal of econometrics, v. 166, (2), 2012, p. 213-223
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi; Mykland, P.
Self-normalized moderate deviations for independent random variables
Science China. Mathematics, v. 55, (11), November 2012, p. 2297-2315
Jing, BingYi; Liang, HanYing; Zhou, Wang
WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering
Bioinformatics, v. 28, (7), April 2012, p. 914-920
Liu, Zhi; Abbas, Ahmed; Jing, Bing-Yi; Gao, Xin





Article 2

Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity
Statistical methods in medical research, v. 20, (3), June 2011, p. 217-231
Qin, Gengsheng; Davis, Angela E.; Jing, Bing-Yi
Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data
Journal of the American Statistical Association, v. 106, (494), June 2011, p. 558-568
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi





Article 3

A note on minimal d-separation trees for structural learning
Artificial intelligence, v. 174, (5-6), 2010, APR, p. 442-448
Liu, Binghui; Guo, Jianhua; Jing, Bing-Yi
Nonparametric estimate of spectral density functions of sample covariance matrices: A first step
Annals of Statistics, v. 38, (6), 2010, p. 3724-3750
Jing, Bing-Yi; Pan, G.; Shao, Q.M.; Zhou, W.
Testing for diffusion in a discretely observed semimartingale
Journal of the Korean Statistical Society, v. 39, (3, Sp. Iss. SI), 2010, SEP, p. 357-370
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing





Article 6

A unified approach to Edgeworth expansions for studentized statistics
Statistica Sinica, v. 20, (2), 2010, APR, p. 613-636
Jing, Bing Yi; Wang, Qiying
Asymptotic normality in partial linear models based on dependent errors
Journal of statistical planning and inference, v. 139, (4), 2009, APR 1, p. 1357-1371
Liang, Han-Ying; Jing, Bing-Yi
Jackknife Empirical Likelihood
Journal of the American Statistical Association, v. 104, (487), 2009, SEP, p. 1224-1232
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang
On normal approximations to U -statistics
Annals of Probability, v. 37, (6), 2009, November, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang
ON NORMAL APPROXIMATIONS TO U-STATISTICS
Annals of probability, v. 37, (6), 2009, NOV, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang
Stochastic regression and its application to hedging in finance
Science in China Series a-mathematics, v. 52, (6), 2009, JUN, p. 1365-1372
Jing, BingYi; Kong, XinBing; Liu, Zhi; Zhang, Bo





Article 3

Empirical likelihood for non-degenerate U-statistics
Statistics & probability letters, v. 78, (6), 2008, APR 15, p. 599-607
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang
Strong limit theorems for weighted sums of negatively associated random variables
Journal of theoretical probability, v. 21, (4), 2008, DEC, p. 890-909
Jing, Bing-Yi; Liang, Han-Ying
Towards a universal self-normalized moderate deviation
Transactions of the American Mathematical Society, v. 360, (8), 2008, p. 4263-4285
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang

Book chapter 1

Limit Theorems for U-statistics
Asymptotic Theory in Probability and Statistics with Applications / Edited by Tze-Leung Lai, Lianfen Qian, Qi-Man Shao. Somerville, Mass.: International Press; Beijing: Higher Education Press, c2008, p. 254-273
Jing, Bing Yi





Article 2

Limiting distributions of the non-central t-statistic and their applications to the power of t-tests under non-normality
Bernoulli, v. 13, (2), 2007, MAY, p. 346-364
Bentkus, Vidmantas; Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang
The LIL for the Bickel-Rosenblatt test statistic
Journal of statistical planning and inference, v. 137, (6), 2007, JUN 1, p. 1829-1837
Liang, Han-Ying; Jing, Bing-Yi





Article 2

Edgeworth expansion and bootstrap approximation for studentized product-limit estimator with truncated and censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 35, (4), 2006, p. 609-623
Wang, QH; Jing, Bing Yi
Tail probability approximations for Student's t-statistics
Probability theory and related fields, v. 136, (4), 2006, DEC, p. 541-559
Zhou, Wang; Jing, Bing-Yi





Article 3

A note on edgeworth expansions for U-statistics under minimal conditions
Lithuanian Mathematical Journal, v. 45, (3), 2005, p. 353-358
Jing, Bing-Yi; Zhou, W.
Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
Journal of multivariate analysis, v. 95, (2), 2005, AUG, p. 227-245
Liang, HY; Jing, Bing Yi
Estimation by method of moment under two-sample location-scale model with random censorship
Journal of nonparametric statistics, v. 17, (1), 2005, JAN-FEB, p. 1-14
Wang, QH; Jing, BY





Article 3

Saddlepoint approximation for Student's t-statistic with no moment conditions
The Annals of Statistics, v. 32, (6), December 2004, p. 2679-2711
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang
Saddlepoint approximations to the trimmed mean
Bernoulli, v. 10, (3), 2004, JUN, p. 465-501
Helmers, R.; Jing, BingYi; Qin, GS; Zhou, W.
Weighted bootstrap for U-statistics
Journal of multivariate analysis, v. 91, (2), 2004, NOV, p. 177-198
Wang, QY; Jing, Bing Yi

Conference paper 1

Limit theorems for independent self-normalized sums
PROBABILITY, FINANCE AND INSURANCE, 2004, p. 69-81
Jing, BY





Article 7

Adjusted empirical likelihood method for quantiles
Annals of the Institute of Statistical Mathematics, v. 55, (4), 2003, DEC, p. 689-703
Zhou, W.; Jing, Bing Yi
Edgeworth expansion for U-statistics under minimal conditions
The Annals of Statistics, v. 31, (4), 2003, AUG, p. 1376-1391
Jing, Bing Yi; Wang, QY
Edgeworth expansion in censored linear regression model
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, p. 597-617
Qin, Gensheng; Jing, Bing-Yi
Empirical likelihood confidence regions for comparison distributions and ROC curves
CANADIAN journal OF statistics-revue CANADIENNE DE statistique, v. 31, (2), 2003, JUN, p. 173-190
Claeskens, G.; Jing, Bing Yi; Peng, L.; Zhou, W.
Empirical likelihood for partial linear models
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, SEP, p. 585-595
Wang, QH; Jing, Bing Yi
Self-normalized Cramer-type large deviations for independent random variables
The Annals of Probability, v. 31, (4), 2003, OCT, p. 2167-2215
Jing, Bing Yi; Shao, Qiman; Wang, Qiying
Smoothed empirical likelihood confidence intervals for the difference of quantiles
Statistica Sinica, v. 13, (1), 2003, JAN, p. 83-95
Zhou, Wenwen; Jing, Bing Yi





Article 3

Partial saddlepoint approximations for transformed means
Scandinavian journal of statistics, v. 29, (4), 2002, DEC, p. 721-731
Jing, Bing Yi; Kolassa, JE; Robinson, J.
Saddlepoint approximations for functions of means from several populations
Chinese J. Appl. Probab. Statist., 18, pp. 13-18
Jing, Bing-Yi; Li, Zehui
Strong consistency of estimators for heteroscedastic partly linear regression model under dependent samples
Journal of Applied Mathematics and Stochastic Analysis, v. 15, (3), 2002, p. 207-218
Liang, Han Ying; Jing, Bing Yi





Article 4

Censored partial linear models and empirical likelihood
Journal of multivariate analysis, v. 78, (1), 2001, JUL, p. 37-61
Qin, GS; Jing, Bing Yi
Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data
Annals of the Institute of Statistical Mathematics, v. 53, (3), 2001, SEP, p. 517-527
Wang, QH; Jing, Bing Yi
Empirical likelihood for censored linear regression
Scandinavian journal of statistics, v. 28, (4), 2001, DEC, p. 661-673
Qin, Gengsheng; Jing, Bing Yi
Empirical likelihood for Cox regression model under random censorship
COMMUNICATIONS in statistics-simulation and Computation, v. 30, (1), 2001, p. 79-90
Qin, GS; Jing, Bing Yi





Article 6

A martingale-based bootstrap inference with censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (2), 2000, p. 401-415
Wang, QH; Jing, Bing Yi
Asymptotic properties for estimation of partial linear models with censored data
Journal of statistical planning and inference, v. 84, (1-2), 2000, MAR 1, p. 95-110
Qin, G.; Jing, Bing Yi
Local asymptotic normality and asymptotical minimax efficiency of the MLE under random censorship
Science in China Series a-mathematics PHYSICS ASTRONOMY, v. 43, (6), 2000, JUN, p. 591-600
Wang, QH; Jing, Bing Yi
Some results about the NBUC class of life distributions
Statistics & Probability Letters, v. 46, (3), February 2000, p. 229-237
Li, Xiaohu; Li, Zehui; Jing, Bing Yi
Test for new better than used in convex ordering
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (12), 2000, p. 2751-2760
Li, XH; Zhong, CK; Jing, Bing Yi
The Berry-Esseen bound for Studentized statistics
Annals of probability, v. 28, (1), 2000, JAN, p. 511-535
Wang, QY; Jing, Bing Yi; Zhao, LC





Article 2

An exponential nonuniform Berry-Esseen bound for self-normalized sums
Annals of probability, v. 27, (4), 1999, OCT, p. 2068-2088
Wang, QY; Jing, Bing Yi
Empirical likelihood for partial linear models with fixed designs
Statistics & probability letters, v. 41, (4), 1999, FEB 15, p. 425-433
Wang, QH; Jing, Bing Yi





Article 2

On the sampling window method for long-range dependent data
Statistica Sinica, v. 8, (4), 1998, OCT, p. 1189-1204
Hall, P.; Jing, Bing Yi; Lahiri, SN
Saddlepoint approximations to the two-sample permutation tests
Acta Mathematicae Applicatae Sinica, v. 14, (2), 1998, p. 197-201
Jing, Bing Yi





Article 2

On the relative performance of the block bootstrap for dependent data
COMMUNICATIONS in statistics-theory and METHODS, v. 26, (6), 1997, p. 1313-1328
Jing, Bing Yi
Two-sample nonparametric tilting method
Australian journal of statistics, v. 39, (1), 1997, APR, p. 25-34
Jing, BY; Robinson, J.





Article 3

Exponential empirical likelihood is not Bartlett correctable
The Annals of Statistics, v. 24, (1), 1996, FEB, p. 365-369
Jing, Bing Yi; Wood, ATA
Global tilting method
Statistics & probability letters, v. 28, (3), 1996, JUL, p. 219-226
Jing, Bing Yi
Improved pivotal methods for constructing confidence regions with directional data
Journal of the American Statistical Association, v. 91, (435), 1996, SEP, p. 1062-1070
Hall, P.; Jing, Bing Yi; Wood, ATA





Article 3

ON BLOCKING RULES FOR THE BOOTSTRAP WITH DEPENDENT DATA
Biometrika, v. 82, (3), 1995, SEP, p. 561-574
HALL, P.; HOROWITZ, JL; JING, BING YI
Some Resampling Procedures under Symmetry
Australian Journal of Statistics, v. 37, (3), 1995, p. 337-344
Jing, Bing Yi
Two-sample Empirical Likelihood Method
Statistics and Probability Letters, v. 24, (4), 1995, p. 315-319
Jing, Bing Yi





Article 2

Bahadur Slopes For Comparisons Of Tests Based On Resampling
Australian Journal of Statistics, v. 36, (3), 1994, p. 355-362
Jing, Bing Yi
On the bootstrap saddlepoint approximations
Biometrika, v. 81, (1), 1994, p. 211-215
Jing, Bingyi; Feuerverger, Andrey; Robinson, John





2016 2

On SURE-Type Double Shrinkage Estimation
Journal of the American Statistical Association, v. 111, (516), October 2016, p. 1696-1704
Jing, Bing-Yi; Li, Zhouping; Pan, Guangming; Zhou, Wang Article
Spline-Lasso in High-Dimensional Linear Regression
Journal of the American Statistical Association, v. 111, (513), May 2016, p. 288-297
Guo, Jianhua; Hu, Jianchang; Jing, Bing Yi; Zhang, Zhen Article

2015 4

Feature subset selection using naive Bayes for text classification
Pattern Recognition Letters, v. 65, August 2015, article number 6297, p. 109-115
Feng, Guozhong; Guo, Jianhua; Jing, Bingyi; Sun, Tieli Article
Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
Journal of the American Statistical Association, v. 110, (510), April 2015, p. 867-877
Li, Shaoting; Chen, Jiahua; Guo, Jianhua; Jing, Bing Yi; Tsang, Shui Ying; Xue, Hong Article
Regularized maximum correntropy machine
Neurocomputing, v. 160, July 2015, p. 85-92
Wang, Jim Jing-Yan; Wang, Yunji; Jing, Bing-Yi; Gao, Xin Article
Testing for pure-jump processes for high-frequency data
Annals of Statistics, v. 43, (2), April 2015, p. 847-877
Kong, Xin-Bing; Liu, Zhi; Jing, Bing Yi Article

2014 5

An automated framework for NMR resonance assignment through simultaneous slice picking and spin system forming
Journal of Biomolecular NMR, v. 59, (2), 2014, p. 75-86
Abbas, Ahmed; Guo, Xianrong; Jing, Bing-Yi; Gao, Xin Article
Cramér-Type Moderate Deviation for Studentized Compound Poisson Sum
Journal of Theoretical Probability, v. 28, (4), December 2015, p. 1556-1570
Jing, Bing yi; Wang, Qiying; Zhou, Wang Article
FDR CONTROL IN MULTIPLE TESTING UNDER NON-NORMALITY
Statistica Sinica, v. 24, (4), October 2014, p. 1879-1899
Jing, Bing-Yi; Kong, Xin-Bing; Zhou, Wang Article
On integrated volatility of It? semimartingales when sampling times are endogenous
Communications in Statistics - Theory and Methods, v. 43, (24), December 2014, p. 5263-5275
Li, C.X.; Chen, J.Y.; Liu, Z.; Jing, Bing-Yi Article
On the Estimation of Integrated Volatility With Jumps and Microstructure Noise
Journal of Business and Economic Statistics, v. 32, (3), July 2014, p. 457-467
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing Article

2013 5

Automatic Peak Selection by a Benjamini-Hochberg-Based Algorithm
PLoS ONE, v. 8, (1), January 2013, article number e53112
Abbas, Ahmed; Kong, Xin-Bing; Liu, Zhi; Jing, Bing-Yi; Gao, Xin Article
Evaluating the hedging error in price processes with jumps present
Statistics and its Interface, v. 6, (4), 2013, p. 413-425
Jing, Bing Yi; Kong, X.B.; Liu, Z.; Zhang, B. Article
On Estimating the Integrated Co-Volatility Using Noisy High-Frequency Data with Jumps
Communications in Statistics - Theory and Methods, v. 42, (21), November 2013, p. 3889-3901
Jing, Bing-Yi; Li, Cui-Xia; Liu, Zhi Article
Social Cognitive Role of Schizophrenia Candidate Gene GABRB2
PLoS ONE, v. 8, (4), April 2013, article number e62322
Tsang, Shui Ying; Zhong, Songfa; Mei, Lingling; Chen, Jianhuan; Ng, S.; Pun, Frank Wing; Zhao, Cunyou; Jing, Bingyi; Chark, Robin; Guo, Jianhua; Tan, Yunlong; Li, Junli; Wang, Chuanyue; Chew, Soo Hong; Xue, Hong Article
The asymptotics of the integrated self-weighted cross volatility estimator
Journal of Statistical Planning and Inference, v. 143, (10), October 2013, p. 1708-1718
Li, Cui-Xia; Liang, Xiao-Lin; Jing, Bing-Yi; Kong, Xin-Bing Article

2012 6

A Bayesian feature selection paradigm for text classification
Information processing & management, v. 48, (2), 2012, p. 283-302
Feng, G.; Guo, J.; Jing, Bing-Yi; Hao, L. Article
Jackknife empirical likelihood method for case-control studies with gene-environment independence on controls
Statistics and Its Interface, v. 5, 2012, p. 293-302
Jing, Bing-Yi; Li, Zhouping; Qin, Jing; Zhou, Wang Article
Modeling high-frequency financial data by pure jump processes
The Annals of Statistics, v. 40, (2), April 2012, p. 759-784
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi Article
On the jump activity index for semimartingales
Journal of econometrics, v. 166, (2), 2012, p. 213-223
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi; Mykland, P. Article
Self-normalized moderate deviations for independent random variables
Science China. Mathematics, v. 55, (11), November 2012, p. 2297-2315
Jing, BingYi; Liang, HanYing; Zhou, Wang Article
WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering
Bioinformatics, v. 28, (7), April 2012, p. 914-920
Liu, Zhi; Abbas, Ahmed; Jing, Bing-Yi; Gao, Xin Article

2011 2

Empirical likelihood-based confidence intervals for the sensitivity of a continuous-scale diagnostic test at a fixed level of specificity
Statistical methods in medical research, v. 20, (3), June 2011, p. 217-231
Qin, Gengsheng; Davis, Angela E.; Jing, Bing-Yi Article
Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data
Journal of the American Statistical Association, v. 106, (494), June 2011, p. 558-568
Jing, Bing-Yi; Kong, Xin-Bing; Liu, Zhi Article

2010 3

A note on minimal d-separation trees for structural learning
Artificial intelligence, v. 174, (5-6), 2010, APR, p. 442-448
Liu, Binghui; Guo, Jianhua; Jing, Bing-Yi Article
Nonparametric estimate of spectral density functions of sample covariance matrices: A first step
Annals of Statistics, v. 38, (6), 2010, p. 3724-3750
Jing, Bing-Yi; Pan, G.; Shao, Q.M.; Zhou, W. Article
Testing for diffusion in a discretely observed semimartingale
Journal of the Korean Statistical Society, v. 39, (3, Sp. Iss. SI), 2010, SEP, p. 357-370
Jing, Bing-Yi; Liu, Zhi; Kong, Xin-Bing Article

2009 6

A unified approach to Edgeworth expansions for studentized statistics
Statistica Sinica, v. 20, (2), 2010, APR, p. 613-636
Jing, Bing Yi; Wang, Qiying Article
Asymptotic normality in partial linear models based on dependent errors
Journal of statistical planning and inference, v. 139, (4), 2009, APR 1, p. 1357-1371
Liang, Han-Ying; Jing, Bing-Yi Article
Jackknife Empirical Likelihood
Journal of the American Statistical Association, v. 104, (487), 2009, SEP, p. 1224-1232
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang Article
On normal approximations to U -statistics
Annals of Probability, v. 37, (6), 2009, November, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang Article
ON NORMAL APPROXIMATIONS TO U-STATISTICS
Annals of probability, v. 37, (6), 2009, NOV, p. 2174-2199
Bentkus, Vidmantas; Jing, Bing-Yi; Zhou, Wang Article
Stochastic regression and its application to hedging in finance
Science in China Series a-mathematics, v. 52, (6), 2009, JUN, p. 1365-1372
Jing, BingYi; Kong, XinBing; Liu, Zhi; Zhang, Bo Article

2008 4

Empirical likelihood for non-degenerate U-statistics
Statistics & probability letters, v. 78, (6), 2008, APR 15, p. 599-607
Jing, Bing-Yi; Yuan, Junqing; Zhou, Wang Article
Strong limit theorems for weighted sums of negatively associated random variables
Journal of theoretical probability, v. 21, (4), 2008, DEC, p. 890-909
Jing, Bing-Yi; Liang, Han-Ying Article
Towards a universal self-normalized moderate deviation
Transactions of the American Mathematical Society, v. 360, (8), 2008, p. 4263-4285
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
Limit Theorems for U-statistics
Asymptotic Theory in Probability and Statistics with Applications / Edited by Tze-Leung Lai, Lianfen Qian, Qi-Man Shao. Somerville, Mass.: International Press; Beijing: Higher Education Press, c2008, p. 254-273
Jing, Bing Yi Book chapter

2007 2

Limiting distributions of the non-central t-statistic and their applications to the power of t-tests under non-normality
Bernoulli, v. 13, (2), 2007, MAY, p. 346-364
Bentkus, Vidmantas; Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
The LIL for the Bickel-Rosenblatt test statistic
Journal of statistical planning and inference, v. 137, (6), 2007, JUN 1, p. 1829-1837
Liang, Han-Ying; Jing, Bing-Yi Article

2006 2

Edgeworth expansion and bootstrap approximation for studentized product-limit estimator with truncated and censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 35, (4), 2006, p. 609-623
Wang, QH; Jing, Bing Yi Article
Tail probability approximations for Student's t-statistics
Probability theory and related fields, v. 136, (4), 2006, DEC, p. 541-559
Zhou, Wang; Jing, Bing-Yi Article

2005 3

A note on edgeworth expansions for U-statistics under minimal conditions
Lithuanian Mathematical Journal, v. 45, (3), 2005, p. 353-358
Jing, Bing-Yi; Zhou, W. Article
Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
Journal of multivariate analysis, v. 95, (2), 2005, AUG, p. 227-245
Liang, HY; Jing, Bing Yi Article
Estimation by method of moment under two-sample location-scale model with random censorship
Journal of nonparametric statistics, v. 17, (1), 2005, JAN-FEB, p. 1-14
Wang, QH; Jing, BY Article

2004 4

Saddlepoint approximation for Student's t-statistic with no moment conditions
The Annals of Statistics, v. 32, (6), December 2004, p. 2679-2711
Jing, Bing-Yi; Shao, Qi-Man; Zhou, Wang Article
Saddlepoint approximations to the trimmed mean
Bernoulli, v. 10, (3), 2004, JUN, p. 465-501
Helmers, R.; Jing, BingYi; Qin, GS; Zhou, W. Article
Weighted bootstrap for U-statistics
Journal of multivariate analysis, v. 91, (2), 2004, NOV, p. 177-198
Wang, QY; Jing, Bing Yi Article
Limit theorems for independent self-normalized sums
PROBABILITY, FINANCE AND INSURANCE, 2004, p. 69-81
Jing, BY Conference paper

2003 7

Adjusted empirical likelihood method for quantiles
Annals of the Institute of Statistical Mathematics, v. 55, (4), 2003, DEC, p. 689-703
Zhou, W.; Jing, Bing Yi Article
Edgeworth expansion for U-statistics under minimal conditions
The Annals of Statistics, v. 31, (4), 2003, AUG, p. 1376-1391
Jing, Bing Yi; Wang, QY Article
Edgeworth expansion in censored linear regression model
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, p. 597-617
Qin, Gensheng; Jing, Bing-Yi Article
Empirical likelihood confidence regions for comparison distributions and ROC curves
CANADIAN journal OF statistics-revue CANADIENNE DE statistique, v. 31, (2), 2003, JUN, p. 173-190
Claeskens, G.; Jing, Bing Yi; Peng, L.; Zhou, W. Article
Empirical likelihood for partial linear models
Annals of the Institute of Statistical Mathematics, v. 55, (3), 2003, SEP, p. 585-595
Wang, QH; Jing, Bing Yi Article
Self-normalized Cramer-type large deviations for independent random variables
The Annals of Probability, v. 31, (4), 2003, OCT, p. 2167-2215
Jing, Bing Yi; Shao, Qiman; Wang, Qiying Article
Smoothed empirical likelihood confidence intervals for the difference of quantiles
Statistica Sinica, v. 13, (1), 2003, JAN, p. 83-95
Zhou, Wenwen; Jing, Bing Yi Article

2002 3

Partial saddlepoint approximations for transformed means
Scandinavian journal of statistics, v. 29, (4), 2002, DEC, p. 721-731
Jing, Bing Yi; Kolassa, JE; Robinson, J. Article
Saddlepoint approximations for functions of means from several populations
Chinese J. Appl. Probab. Statist., 18, pp. 13-18
Jing, Bing-Yi; Li, Zehui Article
Strong consistency of estimators for heteroscedastic partly linear regression model under dependent samples
Journal of Applied Mathematics and Stochastic Analysis, v. 15, (3), 2002, p. 207-218
Liang, Han Ying; Jing, Bing Yi Article

2001 4

Censored partial linear models and empirical likelihood
Journal of multivariate analysis, v. 78, (1), 2001, JUL, p. 37-61
Qin, GS; Jing, Bing Yi Article
Empirical Likelihood for a Class of Functionals of Survival Distribution with Censored Data
Annals of the Institute of Statistical Mathematics, v. 53, (3), 2001, SEP, p. 517-527
Wang, QH; Jing, Bing Yi Article
Empirical likelihood for censored linear regression
Scandinavian journal of statistics, v. 28, (4), 2001, DEC, p. 661-673
Qin, Gengsheng; Jing, Bing Yi Article
Empirical likelihood for Cox regression model under random censorship
COMMUNICATIONS in statistics-simulation and Computation, v. 30, (1), 2001, p. 79-90
Qin, GS; Jing, Bing Yi Article

2000 6

A martingale-based bootstrap inference with censored data
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (2), 2000, p. 401-415
Wang, QH; Jing, Bing Yi Article
Asymptotic properties for estimation of partial linear models with censored data
Journal of statistical planning and inference, v. 84, (1-2), 2000, MAR 1, p. 95-110
Qin, G.; Jing, Bing Yi Article
Local asymptotic normality and asymptotical minimax efficiency of the MLE under random censorship
Science in China Series a-mathematics PHYSICS ASTRONOMY, v. 43, (6), 2000, JUN, p. 591-600
Wang, QH; Jing, Bing Yi Article
Some results about the NBUC class of life distributions
Statistics & Probability Letters, v. 46, (3), February 2000, p. 229-237
Li, Xiaohu; Li, Zehui; Jing, Bing Yi Article
Test for new better than used in convex ordering
COMMUNICATIONS in statistics-theory and METHODS, v. 29, (12), 2000, p. 2751-2760
Li, XH; Zhong, CK; Jing, Bing Yi Article
The Berry-Esseen bound for Studentized statistics
Annals of probability, v. 28, (1), 2000, JAN, p. 511-535
Wang, QY; Jing, Bing Yi; Zhao, LC Article

1999 2

An exponential nonuniform Berry-Esseen bound for self-normalized sums
Annals of probability, v. 27, (4), 1999, OCT, p. 2068-2088
Wang, QY; Jing, Bing Yi Article
Empirical likelihood for partial linear models with fixed designs
Statistics & probability letters, v. 41, (4), 1999, FEB 15, p. 425-433
Wang, QH; Jing, Bing Yi Article

1998 2

On the sampling window method for long-range dependent data
Statistica Sinica, v. 8, (4), 1998, OCT, p. 1189-1204
Hall, P.; Jing, Bing Yi; Lahiri, SN Article
Saddlepoint approximations to the two-sample permutation tests
Acta Mathematicae Applicatae Sinica, v. 14, (2), 1998, p. 197-201
Jing, Bing Yi Article

1997 2

On the relative performance of the block bootstrap for dependent data
COMMUNICATIONS in statistics-theory and METHODS, v. 26, (6), 1997, p. 1313-1328
Jing, Bing Yi Article
Two-sample nonparametric tilting method
Australian journal of statistics, v. 39, (1), 1997, APR, p. 25-34
Jing, BY; Robinson, J. Article

1996 3

Exponential empirical likelihood is not Bartlett correctable
The Annals of Statistics, v. 24, (1), 1996, FEB, p. 365-369
Jing, Bing Yi; Wood, ATA Article
Global tilting method
Statistics & probability letters, v. 28, (3), 1996, JUL, p. 219-226
Jing, Bing Yi Article
Improved pivotal methods for constructing confidence regions with directional data
Journal of the American Statistical Association, v. 91, (435), 1996, SEP, p. 1062-1070
Hall, P.; Jing, Bing Yi; Wood, ATA Article

1995 3

ON BLOCKING RULES FOR THE BOOTSTRAP WITH DEPENDENT DATA
Biometrika, v. 82, (3), 1995, SEP, p. 561-574
HALL, P.; HOROWITZ, JL; JING, BING YI Article
Some Resampling Procedures under Symmetry
Australian Journal of Statistics, v. 37, (3), 1995, p. 337-344
Jing, Bing Yi Article
Two-sample Empirical Likelihood Method
Statistics and Probability Letters, v. 24, (4), 1995, p. 315-319
Jing, Bing Yi Article

1994 2

Bahadur Slopes For Comparisons Of Tests Based On Resampling
Australian Journal of Statistics, v. 36, (3), 1994, p. 355-362
Jing, Bing Yi Article
On the bootstrap saddlepoint approximations
Biometrika, v. 81, (1), 1994, p. 211-215
Jing, Bingyi; Feuerverger, Andrey; Robinson, John Article


No Publications


No Publications


No Publications






Teaching Assignment
2021-22 Winter 0 2021-22 Fall 2 2020-21 Summer 1 2020-21 Spring 6 2020-21 Winter 1 2020-21 Fall 6


MAFS5010 Stochastic Calculus
MATH6450I Reinforcement Learning


MATH4981N Independent Study


MAFS6100E Independent Project
MATH4981N Independent Study
MATH4999 Independent Capstone Project
MATH5470 Statistical Machine Learning
MSDM6980 Computational Modeling and Simulation Project
SCIE3500 IRE Research Project I


MATH4984N Independent Study: Mathematical Aspect of Combinatorial Game


MAFS5010 Stochastic Calculus
MAFS6100A Independent Project
MAFS6100B Independent Project
MATH4424 Multivariate Analysis
MATH5431 Advanced Mathematical Statistics I
MSBD5011 Advanced Statistics: Theory and Applications


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)


All Supervisions Current RPGs Graduated RPGs




Current RPGs


Doctor of Philosophy FANG, Linjiajie (co-supervision)
Data Science and Analytics( 2021 - )

LI, Ran (co-supervision)
Data Science and Analytics( 2021 - )

MA, Jiajun (co-supervision)
Data Science and Analytics( 2021 - )

SHI, Kexin (co-supervision)
Data Science and Analytics( 2021 - )

WANG, Qiyue (co-supervision)
Data Science and Analytics( 2021 - )

XIE, Weiyan (co-supervision)
Artificial Intelligence( 2021 - )

ZHANG, Jing (co-supervision)
Data Science and Analytics( 2021 - )

ZHANG, Weiqi (co-supervision)
Data Science and Analytics( 2021 - )

ZHANG, Yun (co-supervision)
Data Science and Analytics( 2021 - )

YANG, Qing
Mathematics( 2019 - )

HUANG, Zhichao (co-supervision)
Mathematics( 2018 - )

LIU, Yiyuan
Mathematics( 2018 - )

WANG, Ya
Mathematics( 2018 - )





Graduated RPGs


Doctor of Philosophy LI, Ting
Mathematics( Completed in 2019 )




Master of Philosophy YANG, Qing
Mathematics( Completed in 2019 )









ProjectsFrom January 2020 to December 2022

All Projects 3


No Projects.
Tensor-based network data analysis


基于张量的网络数据分析 Leading


RGC - General Research Fund


Project Team (HKUST)
JING Bing-yi (Lead)


2020 -




On the Study of Network Data and its Applications.


网络数据研究及应用 Leading


RGC - General Research Fund


Project Team (HKUST)
JING Bing-yi (Lead)


2019 -




Large scale machine learning algorithms Leading


Tencent AI Lab


Project Team (HKUST)
JING Bing-yi (Lead)


2018 - 2021






相关话题/理学院 香港科技大学