Jianxin Yin

发表

Resolvable partially pairwise balanced designs and their applications in computer experiments ∗

K. Fang, Yu Tang, Jianxin Yin, 2005 .

Covariate-adaptive designs with missing covariates in clinical trials

F. Hu, Jianxin Yin, Zhongqiang Liu, 2015 .

Different protein-protein interface patterns predicted by different machine learning methods

Wei Wang, Xinqi Gong, Yongxiao Yang, 2017, Scientific Reports.

A SPARSE CONDITIONAL GAUSSIAN GRAPHICAL MODEL FOR ANALYSIS OF GENETICAL GENOMICS DATA.

Hongzhe Li, Jianxin Yin, Hongzhe Li, 2011, The annals of applied statistics.

Geometric and amino acid type determinants for protein-protein interaction interfaces

Yuan Lou, Xinqi Gong, Yongxiao Yang, 2018, Quantitative Biology.

Different protein-protein interface patterns predicted by different machine learning methods

Wei Wang, Xinqi Gong, Yongxiao Yang, 2017, Scientific Reports.

Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression

G. Xiao, Yi-Qi Lin, Wen-Xin Zhou, 2022, 2202.08441.

Model selection and estimation in the matrix normal graphical model

Hongzhe Li, Jianxin Yin, Hongzhe Li, 2012, J. Multivar. Anal..

Discover Local Causal Network around a Target to a Given Depth

Zhi Geng, Jianxin Yin, You Zhou, 2008, NIPS Causality: Objectives and Assessment.

Partial orientation and local structural learning of causal networks for prediction

Ping He, Cheng Zheng, Zhi Geng, 2008, WCCI Causation and Prediction Challenge.

Sparse Sufficient Dimension Reduction for Markov Blanket Discovery

Xiaomao Li, Jianxin Yin, Jianxin Yin, 2016, Commun. Stat. Simul. Comput..

Graphical model selection and estimation for high dimensional tensor data

Hongzhe Li, Xing Wang, Jianxin Yin, 2014, J. Multivar. Anal..

Nonparametric Covariance Model

Hansheng Wang, Runze Li, Zhi Geng, 2008, Statistica Sinica.

Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization

Hongzhe Li, Jianxin Yin, Hongzhe Li, 2013, J. Multivar. Anal..