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Xinge Jessie Jeng
Xinge Jessie Jeng
Other namesX. Jessie Jeng, Jessie Jeng
Associate Professor, Statistics Department at NCSU
Verified email at ncsu.edu - Homepage
Title
Cited by
Cited by
Year
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
1432011
Censored rank independence screening for high-dimensional survival data
R Song, W Lu, S Ma, X Jessie Jeng
Biometrika 101 (4), 799-814, 2014
1222014
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
912010
Shrinkage and model selection with correlated variables via weighted fusion
ZJ Daye, XJ Jeng
Computational Statistics & Data Analysis 53 (4), 1284-1298, 2009
822009
Simultaneous discovery of rare and common segment variants
XJ Jeng, TT Cai, H Li
Biometrika 100 (1), 157-172, 2013
572013
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
362012
High-dimensional inference for personalized treatment decision
XJ Jeng, W Lu, H Peng
Electronic journal of statistics 12 (1), 2074, 2018
332018
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
192016
Sparse covariance thresholding for high-dimensional variable selection
XJ Jeng, ZJ Daye
Statistica Sinica, 625-657, 2011
162011
Some two-step procedures for variable selection in high-dimensional linear regression
J Zhang, XJ Jeng, H Liu
arXiv preprint arXiv:0810.1644, 2008
132008
Efficient signal inclusion with genomic applications
XJ Jeng, T Zhang, JY Tzeng
Journal of the American Statistical Association, 2019
122019
Parametric modeling of whole-genome sequencing data for CNV identification
S Vardhanabhuti, XJ Jeng, Y Wu, H Li
Biostatistics 15 (3), 427-441, 2014
72014
Variable selection via adaptive false negative control in linear regression
XJ Jeng, X Chen
62019
Estimating the proportion of signal variables under arbitrary covariance dependence
XJ Jeng
Electronic Journal of Statistics 17 (1), 950-979, 2023
42023
Predictor ranking and false discovery proportion control in high-dimensional regression
XJ Jeng, X Chen
Journal of Multivariate Analysis 171, 163-175, 2019
42019
Effective SNP ranking improves the performance of eQTL mapping
XJ Jeng, J Rhyne, T Zhang, JY Tzeng
Genetic epidemiology 44 (6), 611-619, 2020
32020
Detecting weak signals in high dimensions
XJ Jeng
Journal of Multivariate Analysis 147, 234-246, 2016
32016
Weak signal inclusion under dependence and applications in genome-wide association study
XJ Jeng, Y Hu, Q Sun, Y Li
The Annals of Applied Statistics 18 (1), 841-857, 2024
22024
Weak Signal Inclusion Under Sparsity and Dependence
XJ Jeng, Y Hu
arXiv preprint arXiv:2006.15667, 2020
12020
FastLORS: Joint modelling for expression quantitative trait loci mapping in R
J Rhyne, XJ Jeng, EC Chi, JY Tzeng
Stat 9 (1), e265, 2020
12020
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