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Stochastic Processes and Their Applications
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June 27, 2022
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan, Yongyi Guo, Bai Jiang
Annals of Statistics
|
July 26, 2021
ASYMMETRY HELPS: EIGENVALUE AND EIGENVECTOR ANALYSES OF ASYMMETRICALLY PERTURBED LOW-RANK MATRICES
Yuxin Chen, Chen Cheng, Jianqing Fan
Journal of Machine Learning Research : JMLR
|
May 24, 2011
Ultrahigh dimensional feature selection: beyond the linear model
Jianqing Fan, Richard Samworth, Yichao Wu
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 19, 2011
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
Jelena Bradic, Jianqing Fan, Weiwei Wang
Journal of the American Statistical Association
|
January 27, 2012
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
Jianqing Fan, Yang Feng, Rui Song
Annals of Statistics
|
June 5, 2012
HIGH DIMENSIONAL COVARIANCE MATRIX ESTIMATION IN APPROXIMATE FACTOR MODELS
Jianqing Fan, Yuan Liao, Martina Mincheva
Journal of the American Statistical Association
|
August 27, 2009
Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function
Jianqing Fan, Tao Huang, Runze Li
Journal of the American Statistical Association
|
December 25, 2012
Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
Jianqing Fan, Yingying Li, Ke Yu
Journal of the American Statistical Association
|
April 15, 2014
Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
Jianqing Fan, Xu Han, Weijie Gu
Journal of the American Statistical Association
|
September 13, 2024
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan, Zhipeng Lou, Mengxin Yu
Page
of 13
Search research articles
Search
Showing results (21-30 of 123) with videos related to
Sort By:
Page
of 13
Stochastic Processes and Their Applications
|
June 27, 2022
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan, Yongyi Guo, Bai Jiang
Annals of Statistics
|
July 26, 2021
ASYMMETRY HELPS: EIGENVALUE AND EIGENVECTOR ANALYSES OF ASYMMETRICALLY PERTURBED LOW-RANK MATRICES
Yuxin Chen, Chen Cheng, Jianqing Fan
Journal of Machine Learning Research : JMLR
|
May 24, 2011
Ultrahigh dimensional feature selection: beyond the linear model
Jianqing Fan, Richard Samworth, Yichao Wu
Journal of the Royal Statistical Society. Series B, Statistical Methodology
|
May 19, 2011
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
Jelena Bradic, Jianqing Fan, Weiwei Wang
Journal of the American Statistical Association
|
January 27, 2012
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
Jianqing Fan, Yang Feng, Rui Song
Annals of Statistics
|
June 5, 2012
HIGH DIMENSIONAL COVARIANCE MATRIX ESTIMATION IN APPROXIMATE FACTOR MODELS
Jianqing Fan, Yuan Liao, Martina Mincheva
Journal of the American Statistical Association
|
August 27, 2009
Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function
Jianqing Fan, Tao Huang, Runze Li
Journal of the American Statistical Association
|
December 25, 2012
Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
Jianqing Fan, Yingying Li, Ke Yu
Journal of the American Statistical Association
|
April 15, 2014
Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
Jianqing Fan, Xu Han, Weijie Gu
Journal of the American Statistical Association
|
September 13, 2024
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan, Zhipeng Lou, Mengxin Yu
Page
of 13