X. Jessie Jeng
X. Jessie Jeng
Associate Professor, Statistics Department at NCSU
Dirección de correo verificada de ncsu.edu - Página principal
Citado por
Citado por
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
Shrinkage and model selection with correlated variables via weighted fusion
ZJ Daye, XJ Jeng
Computational Statistics & Data Analysis 53 (4), 1284-1298, 2009
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
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
Sparse covariance thresholding for high-dimensional variable selection
XJ Jeng, ZJ Daye
Statistica Sinica, 625-657, 2011
High-dimensional inference for personalized treatment decision
XJ Jeng, W Lu, H Peng
Electronic journal of statistics 12 (1), 2074, 2018
Some two-step procedures for variable selection in high-dimensional linear regression
J Zhang, XJ Jeng, H Liu
arXiv preprint arXiv:0810.1644, 2008
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
Efficient signal inclusion with genomic applications
XJ Jeng, T Zhang, JY Tzeng
Journal of the American Statistical Association 114 (528), 1787-1799, 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
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
eQTL Mapping via Effective SNP Ranking and Screening
J Rhyne, JY Tzeng, T Zhang, XJ Jeng
arXiv preprint arXiv:1804.02737, 2018
Detecting weak signals in high dimensions
XJ Jeng
Journal of Multivariate Analysis 147, 234-246, 2016
Identification of signal, noise, and indistinguishable subsets in high-dimensional data analysis
XJ Jeng
arXiv preprint arXiv:1305.0220, 2013
Variance adaptation and covariance regularization in sparse inference
XJ Jeng
Purdue University, 2009
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