Research

Research interests 

I welcome graduate students to dive into a realm of pioneering research through our dynamic program, focusing on high-dimensional statistical inference and machine learning, with impactful applications spanning healthcare, finance, and beyond. 

Preprints 

   (* corresponding author, # graduate student)

   Y Hu# and X J Jeng* (2024)

   Spatially Adaptive Variable Screening in Pre-surgical fMRI Data Analysis

   Under review

Papers published

   X J Jeng*, Y Hu# , Q Sun and Y Li (2024)

   Weak Signal Inclusion Under Dependence and Applications in Genome-Wide Association Study

   Annals of Applied Statistics. 18(1), 841-857

   X J Jeng*, Y Hu#, V Venkat, T-P Lu and J-Y Tzeng (2023)

   Transfer Learning with False Negative Control Improves Polygenic Risk Prediction

   PLOS Genetics. https://doi.org/10.1371/journal.pgen.1010597

   X J Jeng (2023)

   Estimating The Proportion of Signal Variables Under Arbitrary Dependence

   Electronic Journal of Statistics. 17(1), 950-979. DOI: 10.1214/23-EJS2119


   X J Jeng*, H Peng#, and W Lu (2021)

   Model Selection with Mixed Variables on the Lasso Path 

   Sankya B, the Special Issue in Honor of Jayanta K. Ghosh. 83, 170-184.

   

   X J Jeng*, J  Rhyne#, T Zhang#, and J-Y Tzeng (2020)

   Effective SNP Ranking Improves the Performance of eQTL Mapping 

   Genetic Epidemiology. 44 (6), 611-619. 


   J Rhyne#, X J Jeng, E Chi, and J-Y Tzeng (2020) 

   FastLORS: Joint Modeling for eQTL Mapping in R

   Stat. 9. e4265.


   X J Jeng*, T Zhang#, and J-Y Tzeng (2019)

   Efficient Signal Inclusion With Genomic Applications

   Journal of American Statistical Association, T&M. 114, 1787-1799.        


   X J Jeng* and X Chen (2019)

   Variable Selection via Adaptive False Negative Control in Linear Regression

   Electronic Journal of Statistics. 13(2), 5306-5333.


   X J Jeng*, W Lu, and H Peng# (2018)

   High-Dimensional Inference for Personalized Treatment Decision

   Electronic Journal of Statistics. 12(1), 2074-2089. 


   X J Jeng* and X Chen (2018)

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

   Journal of Multivariate Analysis. 171, 163-175.

   X J Jeng, Z J Daye, W Lu, and J-Y Tzeng (2016)

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

   PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1004993       

   Download R package: AFNC.  You may also Install AFNC from GitHub.

    X J Jeng (2016)

    Detecting Weak Signals in High Dimensions

    Journal of Multivariate Analysis. 147, 234-246


     X J Jeng, Q Wu, and H Li (2015)     

     A Statistical Method for Identifying Trait-Associated Copy Number Variants

     Human Heredity. 79, 147-156


     R Song, W Lu, S Ma, and X J Jeng (2014)

     Censored Rank Independence Screening for High-Dimensional Survival Data

     Biometrika. 101(4), 799-814


     S Vardhanabhuti, X J Jeng, Y Wu, and H Li (2014)

     Parametric Modeling of Whole-Genome Sequencing Data for CNV Identification

     Biostatistics, 15(3), 427-441


     X J Jeng, T Cai, and H Li (2013)

     Simultaneous Discovery of Rare and Common Segment Variants

     Biometrika, 100 (1), 157-172 

     Download R package: pass


     T Cai, X J Jeng*, and H Li (2012)

     Robust Detection and Identification of Sparse Segments in Ultra-High Dimensional Data Analysis

     J. Royal Statistical Society, Series B.  74(5), 773-797

     Download R package: robustseg


     T Cai, X J Jeng, and H Li (2012)

     Advanced Medical Statistics 

     Invited book chapter, Analysis and Inference of Microarray Data 

     Ed: J Q Fang, H Jin, L Tian and Y Lu. World Scientific Publishing Company


     T Cai, X J Jeng*, and J Jin (2011)

     Optimal Detection of Heterogeneous and Heteroscedastic Mixtures

     J. Royal Statistical Society, Series B. 73 (5), 629-662


     X J Jeng* and Z J Daye (2011) 

     Sparse Covariance Thresholding for High-Dimensional Variable Selection

     Statistica Sinica. Vol 21, 625-657


     X J Jeng*, T Cai, and H Li (2010)

     Optimal Sparse Segment Identification with Application in Copy Number Variation Analysis

     Journal of American Statistical Association, T&M. 105 (491), 1156-1166        

     Download R package: optlrs   


     Z J Daye and X J Jeng (2009)

     Shrinkage and Model Selection with Correlated Variables via Weighted Fusion

     Computational Statistics & Data Analysis. 53 (4) 1284-1298


A feature article on my research in high-dimensional inference and statistical genomics