姓名
郭广报
性别
男
民族
汉


出生年月
1980.12
政治面貌
中共党员

职称（硕导、博导）
副教授（硕导）
职务
统计学学科秘书

联系电话

E-mail
ggb**@163.com

学习工作简历
2012.07-至今山东理工大学数学与统计学院，讲师、副教授
2002.09-2004.07 曲阜师范大学 数学学院，数学专业学士
2004.09-2007.07 厦门大学 数学学院，概率论与数理统计专业硕士
2009.09-2012.06 山东大学 金融研究院，概率论与数理统计专业博士
2013.11-2016.10 山东大学金融研究院， 博士后

社会兼职

2014- 美国《Mathematical Reviews》评论员

教授课程

研究生课程：高等数理统计、回归分析等。
本科生课程：统计学、大数据统计分析、统计计算、非参数统计、数据分析与软件、统计学前沿、概率论与数理统计(A,B,C,D)、线性代数、高等代数等。

主要研究方向

大数据统计计算、金融统计、工业统计。
研究领域：并行与分布式估计理论及其应用、并行抽样理论、并行MCMC、深度学习算法。

部分科研项目

1、基于计算密集型方法的动态广义线性模型研究国家自然科学基金2014/01-2014/12 NSFC **
2、基于并行MCMC的动态金融数据分析中国博士后基金面上项目2014-2015 CPSF 2014M551888
3、基于并行统计计算的大数据分析 山东省自然科学基金面上项目2016 -2018 2016ZRB019YC

部分科研成果
[16]Guangbao Guo, Yue Sun, Xuejun Jiang. (2020).A partitioned quasi-likelihood for distributed statistical inference. Computational Statistics. DOI: 10.1007/s00180-020-00974-4. (SCI, IF: 0.680)
[15]Guangbao Guo. (2020).Taylor quasi-likelihood for limited generalized linear models. Journal of Applied Statistics, DOI：10.1080/**.2020.**. (SCI, IF: 0.767)
[14]Guangbao Guo, James Allison and Lixing Zhu.(2019).Bootstrap maximum likelihood for quasi-stationary distributions.Journal of Nonparametric Statistics,31(1), 64-87.(SCI, IF: 0.706)
[13]You W, Yang Z, Guo G, Wan XF, Ji G(2018)Prediction of DNA-binding proteins by interaction fusion feature representation and selective ensemble.Knowledge-Based Systems,163,598-610.(SCI, IF: 5.101)
[12]Guangbao Guo (2018). Finite difference methods for the BSDEs in finance.International Journal of Financial Studies,6(1), 1-15. (Review)
[11] Shao, W. and Guo, G. (2018). Multiple-try simulated annealing algorithm for global optimization.Mathematical Problems in Engineering,2018(1), 1-11. (SCI, IF: 1.179)
[10]Guangbao Guo, Wenjie You,Lu Linand Guoqi Qian.(2016). Covariance Matrix and Transfer Function of Dynamic Generalized Linear Models. Journal of Computationaland Applied Mathematics.296, 613–624. (SCI, IF: 1.883)
[9] Guangbao Guo,Wei Shao,Lu LinandXuehu Zhu. (2016). Parallel Tempering for Dynamic Generalized Linear Models. Commun.Statist.-Theory Meth. 45, 6299-6310. (SCI, IF: 0.353)
[8] Guangbao Guo,Lin, Lu. (2016). Parallel Bootstrap and Optimal Subsample Lengths in Smooth Function Models. Communications in Statistics–Simulation and Computation, 45(6),2208-2231. (SCI, IF: 0.501)
[7] Guangbao Guo, Wenjie You and Guoqi Qian.(2015). Parallel Maximum Likelihood Estimator for Multiple Linear Regression Models. Journal of Computational and Applied Mathematics.273, 251-263. (SCI, IF: 1.883)
[6] Guangbao, Guo and Xiangyun Lin. (2014). Nonlinear Markov Chains and G-Brownian Motion. Journal of Probability and Statistical Science. 12, 59-68. (Big-g)
[5] Wei Shao, Guangbao Guo*, Guoqing Zhao and Fanyu Meng.(2014) Simulated annealing for the bounds of Kendall’s and Spearman’s ,
Journal of Statistical Computation and Simulation. 84(12),2688-2699. (SCI, IF: 0.869)
[4] Wei Shao, Guangbao Guo, Fanyu Meng and Shuqin Jia. (2012). An efficient proposal distribution for Metropolis–Hastings using a-splines technique. Computational Statistics andData Analysis, 57, 465-478. (SCI, IF: 1.323)
[3] Guangbao, Guo and Weidong, Zhao. (2012).Schwarz Methods for Quasi Stationary Distributions of Markov Chains. Calcolo, 49, 21-39. (SCI, IF: 1.981)
[2] Guangbao,Guo. (2012).ParallelStatisticalComputingforStatistical
Inference. Journal of StatisticalTheory and Practice. 6, 536-565. (Review)
[1] Guangbao, Guo and Shaoling, Lin. (2010). Schwarz Method for Penalized Quasilikelihood in Generalized Additive Models. Commun. Statist.-Theory Meth., 39, 1847-1854. (SCI, IF: 0.353)

部分学术报告

1,Parallel Gibbs variable selection for high-dimensional generalized linear models, CFE-CMStatistics 2018:11th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of Pisa, Italy.
2,Hypergeometric-type bootstrapquasi-likelihood for functional longitudinal data: Inference and applications, CFE-CMStatistics2017:10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London.
3,Adaptive FPCA for functional generalized linear models，IMS-APRM 2016:
The 4th Institute of Mathematical Statistics, Asia Pacific Rim Meeting，2016,HongKong.
4,Bootstrap quasi likelihood for functional longitudinal data,IASC ARS2015:
9th Asian Regional Section of Statistical ComputingConference,2015,
Singapore.
5,Parallel statistical computing for dynamic generalized linearmodels, 2015
IMS-China:International Conference on Statistics and Probability, Kunming.
6,Bootstrap for quasi stationary distributions，The24thInternational
WorkshoponMatricesandStatistics，2015，Haikou.
7,Schwarz methods for second order BSDEs in finance, The announcement of 7thsymposium on BSDEs, 2014, Weihai.