Quantile trace regression via nuclear norm regularization

Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces

(2020) Rui Li et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Generalized high-dimensional trace regression via nuclear norm regularization

(2019) Jianqing Fan et al.   JOURNAL OF ECONOMETRICS

Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space

(2018) Shaogao Lv et al.   ANNALS OF STATISTICS

Orderliness predicts academic performance: behavioural analysis on campus lifestyle

(2018) Yi Cao et al.   Journal of the Royal Society Interface

Minimax prediction for functional linear regression with functional responses in reproducing kernel Hilbert spaces

(2015) Heng Lian   JOURNAL OF MULTIVARIATE ANALYSIS

Tensor Regression with Applications in Neuroimaging Data Analysis

(2013) Hua Zhou et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regularized matrix regression

(2013) Hua Zhou et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A reproducing kernel Hilbert space approach to functional linear regression

(2010) Ming Yuan et al.   ANNALS OF STATISTICS

A Singular Value Thresholding Algorithm for Matrix Completion

(2010) Jian-Feng Cai et al.   SIAM JOURNAL ON OPTIMIZATION