职  称:教授
研究方向:
办公电话:NULL
办公地点:

个人简历

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社会兼职

获奖情况 (数据来源:科学技术处、社会科学处)

教学信息 (数据来源:教务处)

  • 毕业论文19
  • 应用多元统计分析
  • 2020统计学
  • 统计学(博士)
  • 2021博士
  • 博士
  • 高等统计理论方法研究
  • 2019博士
  • 2022博士
  • 统计学
  • 概率论基础2
  • 概率论基础1
  • 毕业论文
  • 统计软件选讲

科研信息 (数据来源:科学技术处、社会科学处)

  • 项目:
  • 1. 基于随机矩阵极限理论的大模型机理研究,国家自然科学基金项目,2024年
  • 2. 大数据统计推断的稳定化研究,国家自然科学基金项目,2023年
  • 3. 高维相关矩阵的统计推断,国家自然科学基金项目,2020年
  • 4. 数理统计,国家自然科学基金项目,2015年
  • 5. 教育部新世纪优秀人才支持计划项目NCET-11-0616,主管部门科技项目,2012年
  • 6. 多元统计分析中常用统计量的高维性态研究,国家自然科学基金项目,2011年
  • 7. 不等式约束下的不完全数据分析及其应用,国家自然科学基金项目,2009年
  • 8. 约束下的EM算法及应用,校内自然科学青年基金,2009年
  • 专著:
  • 1. 大维统计分析,高等教育出版社,01-5年
  • 2. Large Sample Covariance Matrices and High-Dimensional Data Analysis,Cambridge University Press,01-3年
  • 论文:
  • 1. Hypothesis testing on compound symmetric structure of high-dimensional covariance matrix,COMPUT STAT DATA AN,2023年
  • 2. Central limit theorem of linear spectral statistics of high-dimensional sample correlation matrices,BERNOULLI,2023年
  • 3. Block-diagonal test for high-dimensional covariance matrices,TEST,2023年
  • 4. Spectral properties of rescaled sample correlation matrix,STATISTICA SINICA,2022年
  • 5. Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices,ANNALS OF STATISTICS,2022年
  • 6. RDS Free CLT for Spiked Eigenvalues of High-Dimensional Covariance Matrices,STAT PROBABIL LETT,2022年
  • 7. Estimating number of factors by adjusted eigenvalues thresholding,JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2022年
  • 8. Hypothesis testing for block-structured correlation for high-dimensional variables,STATISTICA SINICA,2022年
  • 9. CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data,STAT PAP,2022年
  • 10. Global one-sample tests for high-dimensional covariance matrices,J STAT COMPUT SIM,2021年
  • 11. Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications,J STAT PLAN INFER,2021年
  • 12. Two-sample tests for high-dimensional covariance matrices using both difference and ratio,ELECTRONIC JOURNAL OF STATISTICS,2021年
  • 13. Testing proportionality of two high-dimensional covariance matrices,COMPUT STAT DATA AN,2020年
  • 14. A modified BDS test,STAT PROBABIL LETT,2020年
  • 15. Tests for high-dimensional covariance matrices,RANDOM MATRICES-THEORY AND APPLICATIONS,2020年
  • 16. Miscellanea Estimation of error variance via ridge regression,BIOMETRIKA,2020年
  • 17. Testing Homogeneity of High-dimensional Covariance Matrices,STAT SINICA,2020年
  • 18. Bias reduction in the two-stage method for degradation data analysis,APPL MATH MODEL,2020年
  • 19. Hypothesis testing on linear structures of high-dimensional covariance matrix,ANN STAT,2019年
  • 20. Test for high-dimensional correlation matrices,ANN STAT,2019年
  • 21. Two-step estimation for longitudinal data when the working correlation matrix is a linear combination of some known matrices,ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2019年
  • 22. Variable selection procedures from multiple testing,Science China Mathematics,2019年
  • 23. Testing the equality of two high-dimensional spatial sign covariance matrices,SCAND J STAT,2019年
  • 24. Testing identity of high-dimensional covariance matrix,J STAT COMPUT SIM,2018年
  • 25. A New Test of Multivariate Nonlinear Causality,PLOS ONE ,2018年
  • 26. Simultaneous testing of mean vector and covariance matrix for high-dimensional data,J STAT PLAN INFER,2017年
  • 27. CLT for eigenvalue statistics of large-dimensional general Fisher matrices with applications,BERNOULLI,2017年
  • 28. Power computation for hypothesis testing with high-dimensional covariance matrices,COMPUT STAT DATA AN,2016年
  • 29. Model selection with misspecified spatial covariance structure,J STAT COMPUT SIM,2015年
  • 30. CLT for linear spectral statistics of a rescaled sample precision matrix,RANDOM MATRICES-THEORY AND APPLICATIONS,2015年
  • 31. SUBSTITUTION PRINCIPLE FOR CLT OF LINEAR SPECTRAL STATISTICS OF HIGH-DIMENSIONAL SAMPLE COVARIANCE MATRICES WITH APPLICATIONS TO HYPOTHESIS TESTING,ANN STAT,2015年
  • 32. On Bayes Linear Unbiased Estimator under the balanced Loss Function,COMMUN STAT-THEOR M,2014年
  • 33. Testing Proportionality of Two Large-dimensional Covariance Matrices,COMPUT STAT DATA AN,2014年
  • 34. A New Test for the Proportionality of Two Large-dimensional Covariance Matrices,J MULTIVARIATE ANAL,2014年
  • 35. Likelihood-based multivariate fuzzy model with linear inequality constraints,J INTELL FUZZY SYST,2014年
  • 36. Inference on multiple correlation coefficients with moderately high dimensional data,BIOMETRIKA,2014年
  • 37. Testing Linear Hypotheses in High-Dimensional Regressions,STATISTICS,2013年
  • 38. Fractional Dose-finding methods with Late-onset Toxicity in Phase I Clinical Trials,J BIOPHARM STAT,2013年
  • 39. Two-Stage Dose Finding for Cytostatic Agents in Phase I Oncology Trials,STAT MED,2013年
  • 40. Testing the independence of sets of large-dimensional variables,Science China Mathematics,2013年
  • 41. Generalized Measures of Correlation for Asymmetry, Nonlinearity,and Beyond,J AM STAT ASSOC,2012年
  • 42. Likelihood-based approaches for multivariate linear models under inequality constraints for incomplete data,J STAT PLAN INFER,2012年
  • 43. Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-Matrices,ANN I H POINCARE-PR,2012年
  • 44. Modeling and comparing the organization of circular genomes,BIOINFORMATICS,2011年
  • 45. Statistical inference on difference or ratio of means from heteroscedastic normal populations,J STAT PLAN INFER,2010年
  • 46. Corrections to LRT on Large-dimensional Covariance Matrix by RMT,ANN STAT,2009年
  • 47. Future of Statistics,RANDOM MATRIX THEORY AND ITS APPLICATIONS:Multivariate Statistics and Wireless Communications,2009年
  • 48. Statistical Analysis for Rounded Data,J STAT PLAN INFER,2009年
  • 49. Optimal algorithms and intuitive explanations for Markowitz's portfolio selection model and Sharpe's ratio with no short-selling,SCI CHINA SER A,2008年
  • 50. Selection of components and degrees of smoothing via lasso in high dimensional nonparametric additive models,COMPUT STAT DATA AN,2008年
  • 51. Large Dimensional Data Analysis with Applications of Random Matrix Theory,The 4th International Congress of Chinese Mathematicians(ICCM2007),2007年
  • 52. The restricted EM algorithm under linear inequalities in a linear model with missing data,SCI CHINA SER A,2005年
  • 53. Lifetime Distribution Based Degradation Analysis,IEEE T RELIAB,2005年
  • 54. 含缺失数据线性模型的线性不等式约束EM算法,中国科学A辑,2005年
  • 55. The restricted EM algorithm under inequality restrictions on the parameters,J MULTIVARIATE ANAL,2005年
  • 56. THE MAXIMUM LIKELIHOOD ESTIMATES OF EXPECTED FREQUENCIES UNDER THE LOOP ORDER,STAT SINICA,2004年
  • 57. Test of safety under unequal variances in toxicological studies,东北数学,2003年
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