X. Jessie Jeng

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Discovering Candidate Genes Regulated by GWAS Signals in Cis and Trans	2024	Samhita Pal X. Jessie Jeng
+ PDF Chat	Weak signal inclusion under dependence and applications in genome-wide association study	2024	X. Jessie Jeng Yifei Hu Quan Sun Yun Li
+ PDF Chat	Estimating the proportion of signal variables under arbitrary covariance dependence	2023	X. Jessie Jeng
+	Spatially Adaptive Variable Screening in Presurgical fMRI Data Analysis	2023	Yifei Hu X. Jessie Jeng
+	Dual Control of Testing Errors in High-Dimensional Data Analysis	2020	X. Jessie Jeng Yifei Hu
+	High-Dimensional Inference for Unidentifiable Signals with False Negative Control	2020	X. Jessie Jeng Yifei Hu
+	Model Selection With Mixed Variables on the Lasso Path	2020	X. Jessie Jeng Huimin Peng Wenbin Lu
+	Variable selection via adaptive false negative control in linear regression	2019	X. Jessie Jeng Xiongzhi Chen
+	Predictor ranking and false discovery proportion control in high-dimensional regression	2018	X. Jessie Jeng Xiongzhi Chen
+ PDF Chat	Efficient Signal Inclusion With Genomic Applications	2018	X. Jessie Jeng Teng Zhang Jung‐Ying Tzeng
+	Adaptive Signal Inclusion With Genomic Applications	2018	X. Jessie Jeng Teng Zhang Jung‐Ying Tzeng
+	Variable Selection via Adaptive False Negative Control in High-Dimensional Regression	2018	X. Jessie Jeng Xiongzhi Chen
+	eQTL Mapping via Effective SNP Ranking and Screening	2018	Jacob Rhyne Jung Ying Tzeng Teng Zhang X. Jessie Jeng
+	Efficient Predictor Ranking and False Discovery Proportion Control in High-Dimensional Regression	2018	X. Jessie Jeng Xiongzhi Chen
+	FastLORS: Joint Modeling for eQTL Mapping in R	2018	Jacob Rhyne C. Eric Jung Ying Tzeng X. Jessie Jeng
+	Post-Lasso Inference for High-Dimensional Regression	2018	X. Jessie Jeng Huimin Peng Wenbin Lu
+	High-dimensional inference for personalized treatment decision	2018	X. Jessie Jeng Wenbin Lu Huimin Peng
+	Variable Selection via Adaptive False Negative Control in Linear Regression	2018	X. Jessie Jeng Xiongzhi Chen
+ PDF Chat	Censored rank independence screening for high-dimensional survival data	2014	Rui Song Wenlian Lu Siwei Ma X. Jessie Jeng
+	Identification of Signal, Noise, and Indistinguishable Subsets in High-Dimensional Data Analysis	2013	X. Jessie Jeng
+ PDF Chat	Optimal Detection of Heterogeneous and Heteroscedastic Mixtures	2011	Tommaso Cai X. Jessie Jeng Jiashun Jin
+ PDF Chat	Sparse covariance thresholding for high-dimensional variable selection	2011	X. Jessie Jeng Z. John Daye
+	Shrinkage and model selection with correlated variables via weighted fusion	2008	Z. John Daye X. Jessie Jeng
+	Some Two-Step Procedures for Variable Selection in High-Dimensional Linear Regression	2008	Jian Zhang X. Jessie Jeng Han Liu

Common Coauthors

Coauthor	Papers Together
Xiongzhi Chen	5
Wenbin Lu	3
Teng Zhang	3
Huimin Peng	3
Yifei Hu	3
Jacob Rhyne	2
Z. John Daye	2
Jung Ying Tzeng	2
Jung‐Ying Tzeng	2
Yifei Hu	1
Jiashun Jin	1
Tommaso Cai	1
Samhita Pal	1
Wenlian Lu	1
Siwei Ma	1
Quan Sun	1
Rui Song	1
C. Eric	1
Han Liu	1
Yun Li	1
Jian Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	11
+ PDF Chat	Estimating False Discovery Proportion Under Arbitrary Covariance Dependence	2012	Jianqing Fan Xu Han Weijie Gu	11
+ PDF Chat	Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses	2006	Nicolai Meinshausen John Rice	11
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	11
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	9
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	9
+ PDF Chat	Higher criticism for detecting sparse heterogeneous mixtures	2004	David L. Donoho Jiashun Jin	9
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès	9
+ PDF Chat	Optimal Detection of Heterogeneous and Heteroscedastic Mixtures	2011	Tommaso Cai X. Jessie Jeng Jiashun Jin	8
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	7
+ PDF Chat	Optimal Screening and Discovery of Sparse Signals with Applications to Multistage High Throughput Studies	2016	Tommaso Cai Wenguang Sun	6
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès	6
+ PDF Chat	Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models	2013	Cun‐Hui Zhang Stephanie S. Zhang	6
+ PDF Chat	Sequential Selection Procedures and False Discovery Rate Control	2015	Max G’Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani	6
+	Predictor ranking and false discovery proportion control in high-dimensional regression	2018	X. Jessie Jeng Xiongzhi Chen	6
+	Notes on Generating Functions of Polynomials: (2) Hermite Polynomials	1933	G. N. Watson	5
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	5
+ PDF Chat	A stochastic process approach to false discovery control	2004	Christopher R. Genovese Larry Wasserman	5
+ PDF Chat	Debiasing the lasso: Optimal sample size for Gaussian designs	2018	Adel Javanmard Andrea Montanari	5
+	On asymptotically optimal confidence regions and tests for high-dimensional models	2014	Sara van de Geer Peter Bühlmann Ya’acov Ritov Ruben Dezeure	5
+ PDF Chat	Efficient Signal Inclusion With Genomic Applications	2018	X. Jessie Jeng Teng Zhang Jung‐Ying Tzeng	5
+ PDF Chat	Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism	2011	Ery Arias-Castro Emmanuel J. Candès Yaniv Plan	5
+	Statistics for High-Dimensional Data: Methods, Theory and Applications	2011	Peter Bhlmann Sara van de Geer	5
+	Rate optimal multiple testing procedure in high-dimensional regression	2014	Pengsheng Ji Zhigen Zhao	4
+ PDF Chat	Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control	2007	Wenguang Sun Tommaso Cai	4
+ PDF Chat	Estimation and confidence sets for sparse normal mixtures	2007	Tommaso Cai Jiashun Jin Mark G. Low	4
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	4
+	SLOPE is adaptive to unknown sparsity and asymptotically minimax	2016	Weijie Su Emmanuel J. Candès	4
+	Variable selection via adaptive false negative control in linear regression	2019	X. Jessie Jeng Xiongzhi Chen	4
+	Estimating sparse precision matrix: Optimal rates of convergence and adaptive estimation	2016	Tommaso Cai Weidong Liu Harrison H. Zhou	4
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	4
+ PDF Chat	Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection	2018	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv	4
+ PDF Chat	A strong law of large numbers related to multiple testing normal means	2019	Xiongzhi Chen R. W. Doerge	4
+	UPS delivers optimal phase diagram in high-dimensional variable selection	2012	Pengsheng Ji Jiashun Jin	4
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	4
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	3
+ PDF Chat	Ueber die Entwicklung einer Function von beliebig vielen Variablen nach Laplaceschen Functionen höherer Ordnung.	1866	F.G. Mehler	3
+ PDF Chat	Simultaneous Inference for High-Dimensional Linear Models	2016	Xianyang Zhang Guang Cheng	3
+	Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity	2017	Tommaso Cai Zijian Guo	3
+ PDF Chat	Operating Characteristics and Extensions of the False Discovery Rate Procedure	2002	Christopher R. Genovese Larry Wasserman	3
+ PDF Chat	A Direct Approach to False Discovery Rates	2002	John D. Storey	3
+	Exact post-selection inference, with application to the lasso	2016	Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan Taylor	3
+	Pre-surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive Model	2015	Zhuqing Liu Veronica J. Berrocal Andreas J. Bartsch Timothy D. Johnson	3
+ PDF Chat	Properties of higher criticism under strong dependence	2008	Peter Hall Jiashun Jin	3
+	Detection of sparse mixtures: higher criticism and scan statistic	2019	Ery Arias-Castro Andrew Ying	3
+ PDF Chat	Lower bounds for the number of false null hypotheses for multiple testing of associations under general dependence structures	2005	Nicolai Meinshausen Peter Bühlmann	3
+	Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment.	1994	Michael A. Martin Peter H. Westfall S. Stanley Young	3
+	False discoveries occur early on the Lasso path	2017	Weijie Su Małgorzata Bogdan Emmanuel J. Candès	3
+	A significance test for the lasso	2014	Richard Lockhart Jonathan Taylor Ryan J. Tibshirani Robert Tibshirani	2
+	A Selective Overview of Variable Selection in High Dimensional Feature Space.	2010	Jianqing Fan Jinchi Lv	2