Hongyu Zhao

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All published works

Action	Title	Year	Authors
+	A Bayesian Approach to Correcting the Attenuation Bias of Regression Using Polygenic Risk Score	2025	Geyu Zhou Xinyue Qie Hongyu Zhao
+ PDF Chat	BenTo: Benchmark Task Reduction with In-Context Transferability	2024	Hongyu Zhao Ming Li Lichao Sun Tianyi Zhou
+ PDF Chat	Degrees of Freedom: Search Cost and Self-consistency	2024	Lijun Wang Hongyu Zhao Xiaodan Fan
+ PDF Chat	Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research	2024	Tian-Yu Liu Yijia Xiao Xiao Luo Hua Xu W. Jim Zheng Hongyu Zhao
+ PDF Chat	Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning	2024	Ming Li Yong Zhang Shwai He Zhitao Li Hongyu Zhao Jianzong Wang Ning Cheng Tianyi Zhou
+	Decomposition with Monotone B-splines: Fitting and Testing	2024	Lijun Wang Xiaodan Fan Hongyu Zhao Jun S. Liu
+ PDF Chat	Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research	2024	Tian-Yu Liu Yijia Xiao Xiao Luo Hua Xu W. Jim Zheng Hongyu Zhao
+ PDF Chat	A Bayesian Approach to Correcting the Attenuation Bias of Regression Using Polygenic Risk Score	2023	Geyu Zhou Xinyue Qie Hongyu Zhao
+ PDF Chat	A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statistics	2023	Hongyu Zhao Wei Jiang Shuang Song Liangbo Lyu Changgee Chang Yize Zhao Baolin Wu Lan Wang Matthew J. Girgenti
+ PDF Chat	Multi-Ship Tracking by Robust Similarity metric	2023	Hongyu Zhao Gongming Wei Yang Xiao Xianglei Xing
+	Statistical assessment of biomarker replicability using MAJAR method	2023	Yuhan Xie Song Zhai Wei Jiang Hongyu Zhao Devan V. Mehrotra Judong Shen
+ PDF Chat	Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis	2023	Dao-Lin Pang Hongyu Zhao Tao Wang
+	eQTL studies: from bulk tissues to single cells	2023	Jingfei Zhang Hongyu Zhao
+	Bayesian subtyping for multi-state brain functional connectome with application on adolescent brain cognition	2023	Tianqi Chen Chichun Tan Hongyu Zhao R. Todd Constable Sarah W. Yip Yize Zhao
+	Application of Deep Learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM TTE Data	2023	Peng Zhang Bing Li Renzhou Gui S. L. Xiong Ze-Cheng Zou Xiang-Gao Wang Xiao‐Bo Li Ce Cai Yi Zhao Yan-Qiu Zhang
+	Learning Brain Connectivity in Social Cognition with Dynamic Network Regression	2023	Maoyu Zhang Biao Cai Wenlin Dai Dehan Kong Hongyu Zhao Jingfei Zhang
+	Degrees of Freedom: Search Cost and Self-consistency	2023	Lijun Wang Hongyu Zhao Xiaodan Fan
+	MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data	2023	Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao
+	eQTL Studies: from Bulk Tissues to Single Cells	2023	Jingfei Zhang Hongyu Zhao
+ PDF Chat	Statistical Assessment of Biomarker Replicability using MAJAR Method	2022	Yuhan Xie Song Zhai Wei Jiang Hongyu Zhao Devan V. Mehrotra Judong Shen
+ PDF Chat	Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System	2022	Tim B. Bigdeli Georgios Voloudakis Peter B. Barr Bryan R. Gorman Giulio Genovese Roseann E. Peterson David E. Burstein Vlad I. Velicu Yuli Li Rishab Gupta
+	A general kernel boosting framework integrating pathways for predictive modeling based on genomic data	2022	Li Zeng Zhaolong Yu Yiliang Zhang Hongyu Zhao
+ PDF Chat	Low-Rank Regression Models for Multiple Binary Responses and their Applications to Cancer Cell-Line Encyclopedia Data	2022	Seyoung Park Eun Ryung Lee Hongyu Zhao
+	Clustering High-Dimensional Data via Feature Selection	2022	Tianqi Liu Y. Lu Biqing Zhu Hongyu Zhao
+ PDF Chat	Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression in the VA Health Care System	2022	Tim B. Bigdeli Georgios Voloudakis Peter B. Barr Bryan R. Gorman Giulio Genovese Roseann E. Peterson David E. Burstein Vlad I. Velicu Yuli Li Rishab Gupta
+	fastANCOM: a fast method for analysis of compositions of microbiomes	2022	Chao Zhou Huimin Wang Hongyu Zhao Tao Wang
+ PDF Chat	Characterizing Spatiotemporal Transcriptome of the Human Brain Via Low-Rank Tensor Decomposition	2022	Tianqi Liu Ming Yuan Hongyu Zhao
+	Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data	2022	Biao Cai Jingfei Zhang Hongyu Li Chang Su Hongyu Zhao
+	Clustering High-dimensional Data via Feature Selection	2022	Tianqi Liu Y. Lu Biqing Zhu Hongyu Zhao
+	Additive Conditional Independence for Large and Complex Biological Structures	2022	Kuang‐Yao Lee Bing Li Hongyu Zhao
+ PDF Chat	Nonparametric Functional Graphical Modeling Through Functional Additive Regression Operator	2021	Kuang‐Yao Lee Lexin Li Bing Li Hongyu Zhao
+	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis	2021	Zhongruo Wang Bingyuan Liu Shixiang Chen Shiqian Ma Lingzhou Xue Hongyu Zhao
+	Theory and software for boosted nonparametric hazard estimation	2021	Donald Lee Ningyuan Chen Hemant Ishwaran Xiaochen Wang Arash Pakbin Bobak J. Mortazavi Hongyu Zhao
+	Variance Estimation and Confidence Intervals from High-dimensional Genome-wide Association Studies Through Misspecified Mixed Model Analysis	2021	Cecilia Dao Jiming Jiang Debashis Paul Hongyu Zhao
+ PDF Chat	A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures	2020	Wei Jiang Shuang Song Lin Hou Hongyu Zhao
+ PDF Chat	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis	2020	Zhongruo Wang Bingyuan Liu Shixiang Chen Shiqian Ma Lingzhou Xue Hongyu Zhao
+ PDF Chat	A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy	2020	Xinyue Li Yunting Zhang Fan Jiang Hongyu Zhao
+	Bayesian Semi-parametric Design (BSD) for adaptive dose-finding with multiple strata	2020	Mo Li Rachael Liu Jianchang Lin Veronica Bunn Hongyu Zhao
+	BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates	2020	Xiaochen Wang Arash Pakbin Bobak J. Mortazavi Hongyu Zhao Donald Lee
+	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis	2020	Zhongruo Wang Bingyuan Liu Shixiang Chen Shiqian Ma Lingzhou Xue Hongyu Zhao
+	A set of efficient methods to generate high-dimensional binary data with specified correlation structures	2020	Wei Jiang Shuang Song Lin Hou Hongyu Zhao
+	A general kernel boosting framework integrating pathways for predictive modeling based on genomic data	2020	Li Zeng Zhaolong Yu Yiliang Zhang Hongyu Zhao
+	Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension	2019	Molei Liu Jiehuan Sun Jose D. Herazo‐Maya Naftali Kaminski Hongyu Zhao
+ PDF Chat	A Pathway-Based Kernel Boosting Method for Sample Classification Using Genomic Data	2019	Li Zeng Zhaolong Yu Hongyu Zhao
+ PDF Chat	Phylogeny-based tumor subclone identification using a Bayesian feature allocation model	2019	Li Zeng Joshua L. Warren Hongyu Zhao
+ PDF Chat	Prediction Analysis for Microbiome Sequencing Data	2019	Tao Wang Can Yang Hongyu Zhao
+	Inference of Dynamic Graph Changes for Functional Connectome	2019	Dingjue Ji Junwei Lu Yiliang Zhang Hongyu Zhao Siyuan Gao
+ PDF Chat	Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome	2018	Jiehuan Sun Jose D. Herazo‐Maya Philip L. Molyneaux Toby M. Maher Naftali Kaminski Hongyu Zhao
+ PDF Chat	Distance-correlation based gene set analysis in longitudinal studies	2018	Jiehuan Sun Jose D. Herazo‐Maya Xiu Huang Naftali Kaminski Hongyu Zhao
+	Phylogeny-based tumor subclone identification using a Bayesian feature allocation model	2018	Li Zeng Joshua L. Warren Hongyu Zhao
+	A pathway-based kernel boosting method for sample classification using genomic data	2018	Li Zeng Zhaolong Yu Hongyu Zhao
+	Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models	2017	Junlong Zhao Hongyu Zhao Li Zhu
+ PDF Chat	A Dirichlet process mixture model for clustering longitudinal gene expression data	2017	Jiehuan Sun Jose D. Herazo‐Maya Naftali Kaminski Hongyu Zhao Joshua L. Warren
+ PDF Chat	On Joint Estimation of Gaussian Graphical Models for Spatial and Temporal Data	2017	Zhixiang Lin Tao Wang Can Yang Hongyu Zhao
+	Characterizing Spatiotemporal Transcriptome of Human Brain via Low Rank Tensor Decomposition	2017	Tianqi Liu Ming Yuan Hongyu Zhao
+	Prediction analysis for microbiome sequencing data	2017	Tao Wang Can Yang Hongyu Zhao
+	Graphical model selection with latent variables	2017	Changjing Wu Hongyu Zhao Huaying Fang Minghua Deng
+	Pivotal Variable Detection of the Covariance Matrix and Its Application to High-Dimensional Factor Models	2017	Junlong Zhao Hongyu Zhao Li Zhu
+ PDF Chat	A Bayesian semiparametric factor analysis model for subtype identification	2017	Jiehuan Sun Joshua L. Warren Hongyu Zhao
+	On the Convergence of the EM Algorithm: From the Statistical Perspective	2016	Chong Wu Can Yang Hongyu Zhao Ji Zhu
+	Estimating a sparse reduction for general regression in high dimensions	2016	Tao Wang Mengjie Chen Hongyu Zhao Lixing Zhu
+ PDF Chat	Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules	2016	Ruoqing Zhu Ying-Qi Zhao Guanhua Chen Shuangge Ma Hongyu Zhao
+ PDF Chat	On an additive partial correlation operator and nonparametric estimation of graphical models	2016	Kuang-Yao Lee Bing Li Hongyu Zhao
+	Change point analysis of histone modifications reveals epigenetic blocks linking to physical domains	2016	Mengjie Chen Haifan Lin Hongyu Zhao
+	Variable Selection via Additive Conditional Independence	2016	Kuang-Yao Lee Bing Li Hongyu Zhao
+ PDF Chat	Change point analysis of histone modifications reveals epigenetic blocks linking to physical domains	2016	Mengjie Chen Haifan Lin Hongyu Zhao
+	Ultrahigh Dimensional Feature Selection via Kernel Canonical Correlation Analysis	2016	Tianqi Liu Kuang‐Yao Lee Hongyu Zhao
+	Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension	2016	Molei Liu Jiehuan Sun Jose D. Herazo‐Maya Naftali Kaminski Hongyu Zhao
+	A Bayesian Semiparametric Factor Analysis Model for Subtype Identification	2016	Jiehuan Sun Joshua L. Warren Hongyu Zhao
+	Distance-Correlation based Gene Set Analysis in Longitudinal Studies	2016	Jiehuan Sun Jose D. Herazo‐Maya Xiu Huang Naftali Kaminski Hongyu Zhao
+	On the Convergence of the EM Algorithm: A Data-Adaptive Analysis	2016	Chong Wu Can Yang Hongyu Zhao Ji Zhu
+	A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data	2016	Jiehuan Sun Jose D. Herazo‐Maya Naftali Kaminski Hongyu Zhao Joshua L. Warren
+ PDF Chat	Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model	2016	Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou
+	Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes	2015	Mengjie Chen Chao Gao Hongyu Zhao
+ PDF Chat	Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model	2015	Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou
+ PDF Chat	Research on Wargaming for Equipment Support Based On Computer	2015	Zheng Zhou Hongyu Zhao Xin Shi
+	Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model	2015	Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou
+	On Joint Estimation of Gaussian Graphical Models for Spatial and Temporal Data	2015	Zhixiang Lin Tao Wang Can Yang Hongyu Zhao
+ PDF Chat	Low-Rank Modeling and Its Applications in Image Analysis	2014	Xiaowei Zhou Can Yang Hongyu Zhao Weichuan Yu
+	Detection boundary and Higher Criticism approach for rare and weak genetic effects	2014	Zheyang Wu Yiming Sun Shiquan He Judy H. Cho Hongyu Zhao Jiashun Jin
+ PDF Chat	Sparse Regression by Projection and Sparse Discriminant Analysis	2014	Xin Qi Ruiyan Luo Raymond J. Carroll Hongyu Zhao
+ PDF Chat	On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis	2014	Bing Li Hyonho Chun Hongyu Zhao
+	Estimation for ultra-high dimensional factor model: a pivotal variable detection based approach	2014	Junlong Zhao Hongyu Zhao Lixing Zhu
+	High-dimensional genome-wide association study and misspecified mixed model analysis	2014	Jiming Jiang Cong Li Debashis Paul Can Yang Hongyu Zhao
+	GPA: A statistical approach to prioritizing GWAS results by integrating pleiotropy information and annotation data	2014	Dongjun Chung Can Yang Cong Li Joel Gelernter Hongyu Zhao
+	Low-Rank Modeling and Its Applications in Image Analysis	2014	Xiaowei Zhou Can Yang Hongyu Zhao Weichuan Yu
+	Change point analysis of histone modifications reveals epigenetic blocks with distinct regulatory activity and biological functions	2013	Mengjie Chen Haifan Lin Hongyu Zhao
+	Phylogenetic Indian Buffet Process: Theory and Applications in Integrative Analysis of Cancer Genomics	2013	Mengjie Chen Chao Gao Hongyu Zhao
+	Adaptive clinical trial designs to detect interaction between treatment and a dichotomous biomarker	2013	Hongjian Zhu Feifang Hu Hongyu Zhao
+ PDF Chat	Utilizing protein structure to identify non-random somatic mutations	2013	Gregory Ryslik Yu‐Wei Cheng Kei‐Hoi Cheung Yorgo Modis Hongyu Zhao
+ PDF Chat	Estimating the proportion of true null hypotheses using the pattern of observed<i>p</i>-values	2013	Tiejun Tong Zeny Feng Julia S. Hilton Hongyu Zhao
+	A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS	2013	Jin Liu Can Yang Xingjie Shi Cong Li Jian Huang Hongyu Zhao Shuangge Ma
+	Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes	2013	Mengjie Chen Chao Gao Hongyu Zhao
+	A Spatial Simulation Approach to Account for Protein Structure When Identifying Non-Random Somatic Mutations	2013	Gregory Ryslik Yu‐Wei Cheng Kei‐Hoi Cheung Robert Bjornson Daniel Zelterman Yorgo Modis Hongyu Zhao
+	Improving genetic risk prediction by leveraging pleiotropy	2013	Cong Li Can Yang Joel Gelernter Hongyu Zhao
+	A Graph Theoretic Approach to Utilizing Protein Structure to Identify Non-Random Somatic Mutations	2013	Gregory Ryslik Yu‐Wei Cheng Kei‐Hoi Cheung Yorgo Modis Hongyu Zhao
+	Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model	2013	Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou
+	Change Point Analysis of Histone Modifications Reveals Epigenetic Blocks Linking to Physical Domains	2013	Mengjie Chen Haifan Lin Hongyu Zhao
+ PDF Chat	Statistical properties on semiparametric regression for evaluating pathway effects	2012	Inyoung Kim Herbert Pang Hongyu Zhao
+ PDF Chat	Sparse principal component analysis by choice of norm	2012	Xin Qi Ruiyan Luo Hongyu Zhao
+ PDF Chat	Sparse Estimation of Conditional Graphical Models With Application to Gene Networks	2012	Bing Li Hyonho Chun Hongyu Zhao
+ PDF Chat	Improved mean estimation and its application to diagonal discriminant analysis	2011	Tiejun Tong Liang Chen Hongyu Zhao
+ PDF Chat	Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data	2011	Ruiyan Luo Hongyu Zhao
+	Some theoretical properties of Silverman’s method for Smoothed functional principal component analysis	2010	Xin Qi Hongyu Zhao
+ PDF Chat	False Discovery Rate Control With Groups	2010	James X. Hu Hongyu Zhao Harrison H. Zhou
+ PDF Chat	Asymptotic efficiency and finite-sample properties of the generalized profiling estimation of parameters in ordinary differential equations	2009	Xin Qi Hongyu Zhao
+	Nonparametric estimator of false discovery rate based on Bernšteǐn polynomials	2008	Zhong Zhen Guan Baolin Wu Hongyu Zhao
+ PDF Chat	Practical guidelines for assessing power and false discovery rate for a fixed sample size in microarray experiments	2008	Tiejun Tong Hongyu Zhao
+	Parametric and Nonparametric FDR Estimation Revisited	2006	Baolin Wu Zhong Zhen Guan Hongyu Zhao
+	The Application of Bagging to Hybrid Adaptive Splines	2005	Hongyu Zhao Mengyao Xiao
+	A stochastic modeling of early HIV-1 population dynamics	2001	Ayumi Kamina Robert W. Makuch Hongyu Zhao
+	Test of Association for Quantitative Traits in General Pedigrees: The Quantitative Pedigree Disequilibrium Test	2001	Shuanglin Zhang Kui Zhang Jinming Li Fengzhu Sun Hongyu Zhao
+	Relative Efficiencies of χ2 Models of Recombination for Exclusion Mapping and Gene Ordering	1995	Darlene R. Goldstein Hongyu Zhao Terence P. Speed
+	Correlation Curves as Local Measures of Variance Explained by Regression	1994	Kjell A. Doksum Stephen Blyth Eric T. Bradlow Xiao‐Li Meng Hongyu Zhao

Common Coauthors

Coauthor	Papers Together
Mengjie Chen	10
Jiehuan Sun	9
Can Yang	8
Naftali Kaminski	7
Jose D. Herazo‐Maya	7
Bing Li	6
Joshua L. Warren	6
Harrison H. Zhou	5
Wei Jiang	5
Jingfei Zhang	4
Can Yang	4
Tao Wang	4
Xin Qi	4
Haifan Lin	4
Yu‐Wei Cheng	3
Gregory Ryslik	3
Xiaodan Fan	3
Kuang‐Yao Lee	3
Baolin Wu	3
Kei‐Hoi Cheung	3
Zhao Ren	3
Junlong Zhao	3
Ruiyan Luo	3
Bingyuan Liu	3
Shiqian Ma	3
Shixiang Chen	3
Lingzhou Xue	3
Yorgo Modis	3
Zhaolong Yu	3
Tiejun Tong	3
Shuang Song	3
Joel Gelernter	2
Sumitra Muralidhar	2
Bobak J. Mortazavi	2
John Concato	2
Yijia Xiao	2
Ayman H. Fanous	2
Tianyi Zhou	2
Georgios Voloudakis	2
Bryan R. Gorman	2
Grant D. Huang	2
Rishab Gupta	2
Nallakkandi Rajeevan	2
Simone Tomasi	2
Yuhan Xie	2
Donald Lee	2
Philip D. Harvey	2
Vlad I. Velicu	2
Chong Wu	2
Xiu Huang	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	13
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	12
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	11
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	9
+	Covariance regularization by thresholding	2008	Peter J. Bickel Elizaveta Levina	8
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	7
+ PDF Chat	Sparse Estimation of Conditional Graphical Models With Application to Gene Networks	2012	Bing Li Hyonho Chun Hongyu Zhao	6
+ PDF Chat	Sparsistency and rates of convergence in large covariance matrix estimation	2009	Clifford Lam Jianqing Fan	6
+ PDF Chat	Partial Correlation Estimation by Joint Sparse Regression Models	2009	Jie Peng Pei Wang Nengfeng Zhou Ji Zhu	6
+ PDF Chat	Kernel dimension reduction in regression	2009	Kenji Fukumizu Francis Bach Michael I. Jordan	6
+ PDF Chat	A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation	2011	Tommaso Cai Weidong Liu Xi Luo	6
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	6
+ PDF Chat	A Direct Approach to False Discovery Rates	2002	John D. Storey	6
+	Introduction to the non-asymptotic analysis of random matrices	2010	Roman Vershynin	5
+ PDF Chat	On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis	2014	Bing Li Hyonho Chun Hongyu Zhao	5
+ PDF Chat	Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach	2003	John D. Storey Jonathan Taylor David Siegmund	5
+ PDF Chat	Large Covariance Estimation by Thresholding Principal Orthogonal Complements	2013	Jianqing Fan Yuan Liao Martina Mincheva	5
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	5
+ PDF Chat	Joint measures and cross-covariance operators	1973	C. Richard Baker	5
+	Model-Based Clustering, Discriminant Analysis, and Density Estimation	2002	Chris Fraley Adrian E. Raftery	4
+	The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs	2009	Han Liu John Lafferty Larry Wasserman	4
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	4
+ PDF Chat	High-dimensional covariance matrix estimation in approximate factor models	2011	Jianqing Fan Yuan Liao Martina Mincheva	4
+ PDF Chat	High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence	2011	Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu	4
+	Optimal rates of convergence for sparse covariance matrix estimation	2012	Tommaso Cai Harrison H. Zhou	4
+ PDF Chat	Regularized estimation of large covariance matrices	2008	Peter J. Bickel Elizaveta Levina	4
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	4
+ PDF Chat	Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models	2007	Dawei Liu Xihong Lin Debashis Ghosh	4
+ PDF Chat	Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data	2005	Mette Langaas Bo Henry Lindqvist Egil Ferkingstad	4
+	Variable Selection via Additive Conditional Independence	2016	Kuang-Yao Lee Bing Li Hongyu Zhao	4
+ PDF Chat	A Bayesian Analysis of Some Nonparametric Problems	1973	Thomas S. Ferguson	4
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	4
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	4
+	A general theory for nonlinear sufficient dimension reduction: Formulation and estimation	2013	Kuang-Yao Lee Bing Li Francesca Chiaromonte	4
+	RTRMC: A Riemannian trust-region method for low-rank matrix completion	2011	Nicolas Boumal Pierre-Antoine Absil	3
+ PDF Chat	Joint latent class models for longitudinal and time-to-event data: A review	2012	Cécile Proust‐Lima Mbéry Sène Jeremy M. G. Taylor Hélène Jacqmin‐Gadda	3
+ PDF Chat	The positive false discovery rate: a Bayesian interpretation and the q-value	2003	John D. Storey	3
+ PDF Chat	Fisher Lecture: Dimension Reduction in Regression	2007	R. Dennis Cook	3
+	Resampling-based multiple testing for microarray data analysis	2003	Yongchao Ge Sandrine Dudoit Terence P. Speed	3
+	Bayesian cluster analysis	1978	David A. Binder	3
+	Consistency of the group Lasso and multiple kernel learning	2007	Francis Bach	3
+ PDF Chat	Slice sampling mixture models	2009	Maria Kalli Jim E. Griffin Stephen G. Walker	3
+	High-dimensional semiparametric Gaussian copula graphical models	2012	Han Liu Fang Han Ming Yuan John Lafferty Larry Wasserman	3
+ PDF Chat	Bayesian consensus clustering	2013	Eric F. Lock David B. Dunson	3
+ PDF Chat	Adaptive Thresholding for Sparse Covariance Matrix Estimation	2011	Tommaso Cai Weidong Liu	3
+ PDF Chat	Limit of the Smallest Eigenvalue of a Large Dimensional Sample Covariance Matrix	1993	Zhidong Bai Yanqing Yin	3
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	3
+ PDF Chat	High dimensional covariance matrix estimation using a factor model	2008	Jianqing Fan Yingying Fan Jinchi Lv	3
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	3
+	Empirical bayes methods and false discovery rates for microarrays	2002	Bradley Efron Robert Tibshirani	3