X. Jessie Jeng
X. Jessie Jeng
Associate Professor, Statistics Department at NCSU
Verified email at ncsu.edu - Homepage
Cited by
Cited by
Optimal detection of heterogeneous and heteroscedastic mixtures
T Tony Cai, X Jessie Jeng, J Jin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011
Censored rank independence screening for high-dimensional survival data
R Song, W Lu, S Ma, X Jessie Jeng
Biometrika 101 (4), 799-814, 2014
Optimal sparse segment identification with application in copy number variation analysis
XJ Jeng, TT Cai, H Li
Journal of the American Statistical Association 105 (491), 1156-1166, 2010
Shrinkage and model selection with correlated variables via weighted fusion
ZJ Daye, XJ Jeng
Computational Statistics & Data Analysis 53 (4), 1284-1298, 2009
Simultaneous discovery of rare and common segment variants
XJ Jeng, TT Cai, H Li
Biometrika 100 (1), 157-172, 2013
Robust detection and identification of sparse segments in ultrahigh dimensional data analysis
T Tony Cai, X Jessie Jeng, H Li
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
High-dimensional inference for personalized treatment decision
XJ Jeng, W Lu, H Peng
Electronic journal of statistics 12 (1), 2074, 2018
Sparse covariance thresholding for high-dimensional variable selection
XJ Jeng, ZJ Daye
Statistica Sinica, 625-657, 2011
Rare variants association analysis in large-scale sequencing studies at the single locus level
XJ Jeng, ZJ Daye, W Lu, JY Tzeng
PLoS computational biology 12 (6), e1004993, 2016
Some two-step procedures for variable selection in high-dimensional linear regression
J Zhang, XJ Jeng, H Liu
arXiv preprint arXiv:0810.1644, 2008
Efficient signal inclusion with genomic applications
XJ Jeng, T Zhang, JY Tzeng
Journal of the American Statistical Association, 2019
Parametric modeling of whole-genome sequencing data for CNV identification
S Vardhanabhuti, XJ Jeng, Y Wu, H Li
Biostatistics 15 (3), 427-441, 2014
Predictor ranking and false discovery proportion control in high-dimensional regression
XJ Jeng, X Chen
Journal of Multivariate Analysis 171, 163-175, 2019
Variable selection via adaptive false negative control in linear regression
XJ Jeng, X Chen
Electronic Journal of Statistics 13 (2), 5306-5333, 2019
Effective SNP ranking improves the performance of eQTL mapping
XJ Jeng, J Rhyne, T Zhang, JY Tzeng
Genetic epidemiology 44 (6), 611-619, 2020
Dual Control of Testing Errors in High-Dimensional Data Analysis
XJ Jeng, Y Hu
arXiv e-prints, arXiv: 2006.15667, 2020
FastLORS: Joint modelling for expression quantitative trait loci mapping in R
J Rhyne, XJ Jeng, EC Chi, JY Tzeng
Stat 9 (1), e265, 2020
Post-Lasso Inference for High-Dimensional Regression
XJ Jeng, H Peng, W Lu
arXiv preprint arXiv:1806.06304, 2018
FastLORS: Joint Modeling for eQTL Mapping in R
J Rhyne, E Chi, JY Tzeng, XJ Jeng
arXiv preprint arXiv:1805.05170, 2018
Efficient Predictor Ranking and False Discovery Proportion Control in High-Dimensional Regression
XJ Jeng, X Chen
arXiv preprint arXiv:1804.03274, 2018
The system can't perform the operation now. Try again later.
Articles 1–20