X. J. Jeng

发表

High-Dimensional Inference for Personalized Treatment Decision.

Wenbin Lu, X. J. Jeng, Huimin Peng, 2018, Electronic journal of statistics.

Effective SNP ranking improves the performance of eQTL mapping.

J. Tzeng, X. J. Jeng, J. Rhyne, 2020, Genetic epidemiology.

Simultaneous Discovery of Rare and Common Segment Variants.

Hongzhe Li, X Jessie Jeng, T Tony Cai, 2013, Biometrika.

Efficient Predictor Ranking and False Discovery Proportion Control in High-Dimensional Regression

Xiongzhi Chen, X. J. Jeng, 2018 .

Variable Selection via Adaptive False Negative Control in High-Dimensional Regression

Xiongzhi Chen, X. J. Jeng, X. J. Jeng, 2018 .

SPARSE SEGMENT IDENTIFICATIONS WITH APPLICATIONS TO DNA COPY NUMBER VARIATION ANALYSIS

T. Cai, Hongzhe Li, X. J. Jeng, 2015 .

Model Selection With Mixed Variables on the Lasso Path

Wenbin Lu, X. J. Jeng, Huimin Peng, 2020, Sankhya B.

Parametric modeling of whole-genome sequencing data for CNV identification.

Hongzhe Li, S. Vardhanabhuti, X. J. Jeng, 2014, Biostatistics.

Variable selection via adaptive false negative control in linear regression

Xiongzhi Chen, X. J. Jeng, X. J. Jeng, 2018, Electronic Journal of Statistics.

Identification of Signal, Noise, and Indistinguishable Subsets in High-Dimensional Data Analysis

X. J. Jeng, 2013, 1305.0220.

Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level

Jung-Ying Tzeng, Wenbin Lu, X. Jessie Jeng, 2016, PLoS Comput. Biol..

Weak Signal Inclusion Under Sparsity and Dependence

X. J. Jeng, Yifei Hu, 2020, 2006.15667.

High-Dimensional Inference for Unidentifiable Signals with False Negative Control ∗

X. J. Jeng, Yifei Hu, 2021 .

Dual Control of Testing Errors in High-Dimensional Data Analysis

Yifei Hu, X. Jessie Jeng, X. J. Jeng, 2020 .

Transfer Learning with False Negative Control Improves Polygenic Risk Prediction

J. Tzeng, X. J. Jeng, Yifei Hu, 2023, bioRxiv.

Censored Rank Independence Screening for High-dimensional Survival Data.

Shuangge Ma, Wenbin Lu, Rui Song, 2014, Biometrika.

Weak signal inclusion under dependence and applications in genome-wide association study

X. J. Jeng, Yun Li, Yifei Hu, 2022, The Annals of Applied Statistics.

Predictor ranking and false discovery proportion control in high-dimensional regression

Xiongzhi Chen, X. Jessie Jeng, Xiongzhi Chen, 2018, J. Multivar. Anal..

Optimal Sparse Segment Identification With Application in Copy Number Variation Analysis

Hongzhe Li, X Jessie Jeng, T Tony Cai, 2010, Journal of the American Statistical Association.

Shrinkage and model selection with correlated variables via weighted fusion

Z. John Daye, X. Jessie Jeng, Z. J. Daye, 2009, Comput. Stat. Data Anal..

Efficient Signal Inclusion With Genomic Applications

Jung-Ying Tzeng, Teng Zhang, X. Jessie Jeng, 2018, Journal of the American Statistical Association.

Robust detection and identification of sparse segments in ultrahigh dimensional data analysis

Hongzhe Li, X Jessie Jeng, T Tony Cai, 2012, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Detecting weak signals in high dimensions

X. Jessie Jeng, X. J. Jeng, 2016, J. Multivar. Anal..

Efficient Signal Inclusion With Genomic Applications

X. J. Jeng, Teng Zhang, Jung‐Ying Tzeng, 2018, Journal of the American Statistical Association.

eQTL Mapping via Effective SNP Ranking and Screening

Jung-Ying Tzeng, Teng Zhang, X. Jessie Jeng, 2018, 1804.02737.