陈昱



联系电话：+86-
个人主页：http://staff.ustc.edu.cn/~cyu
E-mail：cyu@ustc.edu.cn

主要研究方向：概率与统计

陈昱，博士，管理学院统计与金融系副教授。研究方向为极值统计分析、贝叶斯网络分析、网络风险度量等。

主持项目：
1.网络相依结构下金融风险度量及回溯检验研究与应用， 国家自然科学基金面上项目 2018.1-2021.12
2.极值理论在风险理论中的应用研究， 国家自然科学基金面上项目, 2012.1-2015.12
3.重尾场合下随机金融风险模型中的破产风险问题, 国家青年科学基金项目, 2009.1-2011.12

参与项目：
1.新随机占优理论及其在社会福利研究中的应用，国家自然科学基金面上项目,2020.1-2023.12
2.抽样调查和蒙特卡洛方法中的随机比较, 国家自然科学基金面上项目, 2015-2018
3.多元极值理论及其在风险理论中的应用，国家自然科学基金面上项目，2014.1-2016.12
4.概率论与数理统计, 国家级精品共享资源课程, 参与性质: 参与(排序3/8), 纵向, 2013-2013
5.概率论与数理统计, 国家级精品课程, 参与性质: 参与(排序2/7), 纵向, 2009-2009

主要讲授课程：
《概率论与数理统计》，《随机过程》，《随机分析》，《应用概率》

主要论著：
[01] Modeling Tail Index with Autoregressive Conditional Pareto Model, Journal of Business & Economic Statistics， 2020, accepted.
[02] Ruin Probability for the Phase-type Dual Model Perturbed by Diffusion， Communications in Statistics - Theory and Methods ，2020, accepted.
[03] Too Connected to Fail? Evidence from Chinese Financial Risk Spillover Network， China & World Economy， 2020, accepted
[04] Regularized Estimation of Precision Matrix for Highhimensional Multivariate Longitudinal Data. Journal of Multivariate Analysis, 2020, 176: 104580
[05] Mark to market value at risk，Journal of Econometrics， 2019, 208: 299-321
[06] A New Algorithm for Learning Large Bayesian Network Structure from Discrete Data, IEEE ACCESS, 2019, 7(1): 121665 -121674
[07] Extensions of Breiman’s Theorem of Product of Dependent Random Variables with Applications to Ruin Theory, Communications in Mathematics and Statistics，2019(7): 1-23
[08] An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data　　Journal of Supercomputing, 2019.01
[09] Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection　2019.01　IEEE Access　61121-61135
[10] Parsimonious Mean-Covariance modeling for Longitudinal Data with ARMA Errors, Journal of Systems Science and Complexity--English Series, 2019, 32: 1675-1692
[11] Second-Order Asymptotics of the Risk Concentration of a Portfolio with Deflated Risks, Mathematical Problems in Engineering, 2018, 2018: 1-12
[12] Ruin probabilities with insurance and financial risks having an FGM dependence structure, Science China Mathematics, 2014, 57(5):1071-1082.
[13] Precise large deviations for generalized dependent compound renewal risk model with consistent variation, Frontier Mathematics China, 2014, 9(1):31-44.
[14] Approximations of the tail probability of the product of dependent extremal random variables and applications, Insurance: Mathematics and Economics. 2013, 169-178
[15] Asymptotic ruin probabilities for proportional investment under interest force with dominatedly - varying-tailed claims, Journal of the Korean Statistical Society, 2012, 41(1), 87-95
[16] Approximation of the tail probability of randomly weighted sums of dependent random variables with dominated variation. J. Math. Anal. Appl. 2011, 376, 365-372.