Ping-Shou Zhong

Homogeneity Tests of Covariance and Change-Points Identification for High-Dimensional Functional Data

Shawn Santo, Ping-Shou Zhong, Pingshou Zhong, 2020, 2005.01895.

Jackknife empirical likelihood inference with regression imputation and survey data

Sixia Chen, Ping-Shou Zhong, Pingshou Zhong, 2014, J. Multivar. Anal..

A hidden Markov approach for ascertaining cSNP genotypes from RNA sequence data in the presence of allelic imbalance by exploiting linkage disequilibrium

Heng Wang, Juan P. Steibel, Ping-Shou Zhong, 2015, BMC Bioinformatics.

An optimal kernel-based method for gene set association analysis

Tao He, Yuehua Cui, Shaoyu Li, 2018, bioRxiv.

Two-Sample Tests for High Dimensional Means with Thresholding and Data Transformation

Jun Li, Song Xi Chen, Ping-Shou Zhong, 2014, 1410.2848.

Tests alternative to higher criticism for high-dimensional means under sparsity and column-wise dependence

Ping-Shou Zhong, Song Xi Chen, Pingshou Zhong, 2013, 1312.5103.

Additive varying-coefficient model for nonlinear gene-environment interactions

Cen Wu, Yuehua Cui, Ping-Shou Zhong, 2018, Statistical applications in genetics and molecular biology.

High dimensional variable selection for gene-environment interactions

Cen Wu, Yuehua Cui, Ping-Shou Zhong, 2013 .

Joint Test of Parametric and Nonparametric Effects in Partial Linear Models for Gene-environment Interaction

Yuehua Cui, Ping-Shou Zhong, Xu Liu, 2020 .