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Keyword Search Criteria: high-dimensional returned 96 record(s)
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Sunday, 08/08/2021
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Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests
Purvasha Chakravarti, Imperial College London; Mikael Kuusela, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
1:35 PM
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Asymptotic Distributions of High-Dimensional Distance Correlation Inference
Lan Gao, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California; Qi-Man Shao, Southern University of Science and Technology and The Chinese University of Hong Kong
1:55 PM
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Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes
Rebecca Willett, University of Chicago; Daren Wang, University of Notre Dame; Yi Yu, University of Warwick
2:15 PM
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Euclidean Representation of Low-Rank Matrices and Intrinsic Perturbation Analysis with Applications to High-Dimensional Statistics
Fangzheng Xie, Indiana University
2:15 PM
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Letting the LaxKAT Out of the Bag: A Powerful Kernel Test for Neuroimaging Studies
Jeremy Samuel Rubin, University of Pennsylvania; Simon N Vandekar, Vanderbilt University; Lior Rennert, Clemson University; Mackenzie Edmonson, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
2:35 PM
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Characterizing Lived Experiences of Highly Vulnerable Populations Through COVID-19
Jukka-Pekka Onnela, Harvard University
4:25 PM
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A Neighborhood Hypothesis Test for a High-Dimensional Mean When the Neighborhood Is Defined in Terms of the Total Population Variance with an Application to Model Validation
Dhanamalee Bandara, University of Wisconsin Green Bay; Leif Ellingson, Texas Tech University; Souparno Ghosh, University of Nebraska Lincoln
4:30 PM
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Terminating Gerrymandering: Monte Carlo Goes to Court
Jonathan C. Mattingly, Duke University; Gregory J Herschlag, Department of Mathematics
4:35 PM
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Penalized Weighted Proportional Hazards Model for Robust Survival Data Analysis
Bin Luo, Duke University; Xiaoli Gao, The University of North Carolina at Greensboro; Susan Halabi, Duke University
4:40 PM
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Spike-and-Slab Generalized Additive Models and Fast Algorithms for High-Dimensional Data
Boyi Guo, University of Alabama at Birmingham; Nengjun Yi, University of Alabama at Birmingham
5:05 PM
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Monday, 08/09/2021
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Community Network Auto-Regression for High-Dimensional Time Series
Elynn Y. Chen, University of California, Berkeley; Jianqing Fan , Princeton University; Xuening Zhu, Fudan University
10:10 AM
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A P-Value-Free FDR Controlling Approach for High-Dimensional Variable Selection
Arkaprabha Ganguli, Michigan State University; David Todem, Michigan State University
10:15 AM
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Multisite Learning with High-Dimensional Data via a Distributed Algorithm for Penalized Regression (ADAP)
Xiaokang Liu, University of Pennsylvania; Rui Duan, Harvard University; Chongliang Luo, University of Pennsylvania; Alexis Ogdie, University of Pennsylvania ; Jason H. Moore, University of Pennsylvania ; Henry R. Kranzler, University of Pennsylvania ; Jiang Bian, University of Florida Health Cancer Center; Yong Chen, University of Pennsylvania
10:20 AM
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Biologically Informed Development of Treatment Selection Scores from High-Dimensional Omics Data
Lisa McShane, National Cancer Institute
10:45 AM
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Debiased Inference in Mendelian Randomization After Selecting Among High-Dimensional Genetic Instruments
Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
10:55 AM
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Information-Based Mediation Analysis on High-Dimensional Metagenomic Data
Lingling An, University of Arizona; Kyle Carter, University of Arizona; Meng Lu, University of Arizona; Hongmei Jiang, Northwestern University
11:00 AM
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Boosting for Mixture Cure Models Using Survival Data Under Competing Risks for High-Dimensional Data: Application to Second Primary Lung Cancer Data
Nilotpal Sanyal, Stanford University School of Medicine; Summer S. Han, Stanford University School of Medicine
11:05 AM
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Dating the Break in High-Dimensional Data
Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
11:45 AM
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Monte Carlo Methods for Revealing Gerrymandering
Gregory J Herschlag, Department of Mathematics; Jonathan C. Mattingly, Duke University
1:35 PM
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Comparison of Normalization Methods to Combine Batches of High-Dimensional Multiplexed Images
Coleman R Harris, Vanderbilt University Medical Center; Qi Liu, Vanderbilt University Medical Center; Eliot McKinley, Vanderbilt University Medical Center; Joseph Roland, Vanderbilt University Medical Center; Ken Lau, Vanderbilt University Medical Center; Robert Coffey, Vanderbilt University Medical Center; Simon N Vandekar, Vanderbilt University
1:55 PM
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Data-Dependent Distances for Hyperspectral Images
James M. Murphy, Tufts University
2:15 PM
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High-Dimensional, Differentially-Private EM Algorithm: Methods and Near Optimal Statistical Guarantees
Zhe Zhang, Rutgers University, New Brunswick; Linjun Zhang, Rutgers University
2:55 PM
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A Bayesian Nonparametric Regression with Multiple Periodic Predictors
Duchwan Ryu, Northern Illinois University; Alan M. Polansky, Northern Illinois University; Devrim Bilgili, University of North Florida
2:55 PM
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Tuesday, 08/10/2021
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Inference for a Change Point in High-Dimensional Data via Self-Normalization
Runmin Wang, Southern Methodist University; Changbo Zhu, University of California, Davis; Stanislav Volgushev, University of Toronto; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:05 AM
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Inference of Causal Relations with Interventions
Chunlin Li, University of Minnesota; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
10:05 AM
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Optimal Semi-Supervised Estimation and Inference for High-Dimensional Linear Regression
Yang Ning, Cornell University ; Jiwei Zhao, University of Wisconsin-Madison; Heping Zhang, Yale University
10:05 AM
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Causal Mediation Analysis Based on Partial Linear Models
Xizhen Cai, Williams College; Yeying Zhu, University of Waterloo; Yuan Huang, Yale University
10:05 AM
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Empirical Evaluation of Internal Validation Methods for Estimating Optimism Error in High-Dimensional Electronic Health Record Data with Rare Event Outcomes
Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Qinqing Liao, University of Washington
10:25 AM
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Change-Point Detection for Multivariate and Non-Euclidean Data with Local Dependency
Hao Chen, University of California, Davis
10:45 AM
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Generalized Matrix Decomposition for Exploration, Estimation, and Inference in Two-Way Structured Data
Timothy Randolph, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington; Yue Wang, Arizona State University ; Jing Ma, Fred Hutchinson Cancer Research Center
11:20 AM
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High-Dimensional Semi-Supervised Learning: In Search of Optimal Inference of the Mean
Yuqian Zhang, UCSD; Jelena Bradic, University of California, San Diego
1:50 PM
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A Joint Approach to Screening High-Dimensional Meditators in Epigenetic Data with Repeated Outcomes
Lu Xie, University of Memphis; Hongmei Zhang, University of Memphis; Meredith Ray, University of Memphis; Cen Wu, Kansas State University; Yu Jiang, University of Memphis
1:50 PM
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Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields
Matthias Katzfuss, Texas A&M University; Florian Schaefer, Caltech
2:15 PM
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High-Dimensional Principle Component Analysis with Heterogeneous Missingness
Ziwei Zhu , University of Michigan, Ann Arbor; Tengyao Wang, University College London; Richard J. Samworth, University of Cambridge
2:25 PM
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Adaptive Inference for Change Points in High-Dimensional Data
Yangfan Zhang, University of Illinois at Urbana-Champaign; Runmin Wang, Southern Methodist University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
2:35 PM
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Integrative Analysis of Longitudinal High-Dimensional Data with Time-Lagged Associations
Yuping Zhang, University of Connecticut
2:35 PM
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Flexible Clustering of High-Dimensional Data via Mixtures of Joint Generalized Hyperbolic Distributions
Paul D McNicholas, McMaster University
2:55 PM
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Wednesday, 08/11/2021
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Score Tests with Incomplete Covariates and High-Dimensional Auxiliary Variables
Kin Yau Wong, The Hong Kong Polytechnic University
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Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
Sumanta Basu, Cornell University
10:05 AM
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Identifying Temporal Pathways Using High-Dimensional Biomarkers
Shanghong Xie , Columbia Unviersity; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
10:05 AM
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Missing Value Estimation for High-Dimensional Data
Mian Arif Shams Adnan, Bowling Green State University; Silvia Irin Sharna, Bowling Green State University
10:20 AM
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Sequential Change-Point Detection in High-Dimensional Gaussian Graphical Models
George Michailidis, U Florida
10:30 AM
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Inverse Probability Weighting-Based Mediation Analysis for Microbiome Data
Yuexia Zhang, University of Toronto; Jian Wang, University of Texas MD Anderson Cancer Center; Jiayi Shen, University of Southern California; Jessica Galloway-Pena, Texas A&M University; Samuel Shelburne, University of Texas MD Anderson Cancer Center; Linbo Wang, University of Toronto; Jianhua Hu, Columbia University
10:50 AM
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High-Dimensional Spectral Analysis
Efstathios Paparoditis, University of Cyprus; Jonas Krampe, University of Mannheim
10:55 AM
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A High-Dimensional Mediation Model for a Neuroimaging Mediator: Integrating Clinical, Neuroimaging, and Neurocognitive Data to Mitigate Late Effects in Pediatric Cancer
Xiaoqing Wang, St. Jude Children’s Research Hospital; Yimei Li, St. Jude Children's Research Hospital; Wilburn E. Reddick, St. Jude Children’s Research Hospital; Heather M. Conklin, St. Jude Children’s Research Hospital; John O. Glass, St. Jude Children’s Research Hospital; Arzu Onar-Thomas, St. Jude Children’s Research Hospital; Amar Gajjar, St. Jude Children’s Research Hospital; Cheng Cheng, St. Jude Children’s Research Hospital; Zhao-Hua Lu, St. Jude Children’s Research Hospital
11:05 AM
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High-Dimensional Analysis of Complex Dependent Data
Anders Kock, University of Oxford
11:20 AM
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High-Dimensional Regression of Continuous Secondary Traits Under Extreme Phenotype Sampling
Lance Ford, University of Oklahoma Health Sciences Center; Chao Xu, University of Oklahoma Health Sciences Center
11:35 AM
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High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics
Xianyang Zhang, Texas A&M University; Shubhadeep Chakraborty, University of Washington
1:35 PM
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Inference from Non-Random Samples Using Bayesian Machine Learning
Yutao Liu, Vertex Pharmaceuticals, Inc.; Andrew Gelman, Columbia University; Qixuan Chen, Columbia University
1:35 PM
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Skeleton Clustering: Dimension-Free Density-Based Clustering
Zeyu Wei, University of Washington, Department of Statistics; Yen-Chi Chen, University of Washington
1:35 PM
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An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data
Ana Maria Estrada Gomez, Georgia Institute of Technology; Dan Li, Georgia Institute of Technology; Kamran Paynabar, Georgia Institute of Technology
1:55 PM
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Risk Estimation Under High-Dimensional Asymptotics
Arian Maleki, Columbia University; Kamiar Rahnamad rad, City University of New York; Wenda Zhou, Flat iron institute
2:00 PM
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Asymptotic Distributions of High-Dimensional Distance Correlation Inference
Jinchi Lv, University of Southern California
2:05 PM
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Utilizing Wasserstein Distance in Convergence Complexity Analysis of MCMC Algorithms
Bryant Frost Davis, University of Florida; James P Hobert, University of Florida
2:20 PM
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Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Zhimei Ren, Stanford University; Zhengyuan Zhou, New York University
2:35 PM
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Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data
Rene Gutierrez, UC Santa Cruz; Rajarshi Guhaniyogi, University of California, Santa Cruz
2:35 PM
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Variational Bayesian Multiple Imputation for Clustered High-Dimensional Data
Qiushuang Li, University at Albany SUNY; Recai Yucel, Temple University
2:40 PM
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Inference for Linear Functional in High-Dimensional Quantile Regression
Prabrisha Rakshit, Rutgers, The State University of New Jersey; Zijian Guo, Rutgers University
2:50 PM
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Sparse Bayesian High-Dimensional Vector Autoregressions
Rui Meng, Lawrence Berkeley National Laboratory
2:55 PM
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Efficient and Robust Semi-Supervised Learning: Estimating ATE with Partially Annotated Treatment and Response
Jue Hou, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health
3:45 PM
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Recent Advances in Applying Floodgate to High-Dimensional Inference
Lucas Janson, Harvard University; Lu Zhang, Harvard University
4:25 PM
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Lasso-Regularized Local Smoothing for Longitudinal Analysis with Time-Varying Coefficient Models
Xiaoyang Ma, NHLBI, NIH; Georgetown University; Colin O Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health
4:45 PM
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Thursday, 08/12/2021
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High-Dimensional, Robust, Unsupervised Record Linkage
Ansu Chatterjee, University of Minnesota; Sabyasachi Bera, University of Minnesota
10:05 AM
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Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients
Limin Peng, Emory University; Ying Cui, Emory University; Yijuan Hu, Emory University; HuiChuan Lai, University of Wisconsin-Madison
10:25 AM
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Change-in-Covariance Testing in Factor Models and Applications
Ansgar Steland, RWTH Aachen University
10:25 AM
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High-Dimensional Directional Brain Network Analysis for Focal Epileptic Seizures
Tingting Zhang, University of Pittsburgh
10:30 AM
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Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Genetic Data (Functional IBAG)
Rupam Bhattacharyya, University of Michigan; Nicholas Henderson, University of Michigan; Veerabhadran Baladandayuthapani, University of Michigan
10:45 AM
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Three-Dimensional Radial Visualization of High-Dimensional Data Sets with Mixed Features
Yifan Zhu, Iowa State University; Fan Dai, Michigan Technological University; Ranjan Maitra, Iowa State University
11:05 AM
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Sparse Topic Modeling: Computational Efficiency and Near-Optimal Algorithms
Ruijia Wu, Department of Statistics, University of Pennsylvania; Linjun Zhang, Rutgers University; Tony Cai, University of Pennsylvania
11:25 AM
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Second Order Stein: SURE for SURE and Other Applications in High-Dimensional Inference
Pierre C Bellec, Rutgers University; Cun-Hui Zhang, Rutgers University
12:05 PM
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A Reduced Rank Regression Model for Microbiome Data Integration
Ying Dai, Oregon State University; Duo Jiang, Oregon State University
12:15 PM
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Adaptive Estimation in High-Dimensional Additive Models with Multi-Resolution Group Lasso
Yisha Yao, Department of Statistics, Rutgers-New Brunswick; Cun-Hui Zhang, Rutgers University
12:45 PM
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Casting Multiple Shadows: High-Dimensional Interactive Data Visualization with Tours and Embeddings
Stuart Lee, Monash University
12:55 PM
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Coupled Markov Chain Monte Carlo for High-Dimensional Regression with Half-T Priors
Niloy Biswas, Harvard University; Anirban Bhattacharya, Texas A&M University; Pierre Etienne Jacob, Harvard University; James Johndrow, University of Pennsylvania
1:05 PM
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High-Sensitivity Pattern Discovery in Large, Paired Multi-Omic Data Sets
Andrew Ghazi, Broad Institute; Kathleen Sucipto, Harvard TH Chan School of Public Health; Gholamali Rahnavard, Harvard TH Chan School of Public Health; Eric Franzosa, Harvard TH Chan School of Public Health; Lauren McIver, Harvard TH Chan School of Public Health; Jason Lloyd-Price, Harvard TH Chan School of Public Health; Emma Schwager, Harvard TH Chan School of Public Health; George Weingart, Harvard TH Chan School of Public Health; Yo Sup Moon, Harvard TH Chan School of Public Health; Xochitl Morgan, University of Otago; Levi Waldron, CUNY Graduate school Public Health and Health Policy; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
1:20 PM
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Efficient Estimation of the Maximal Association Between Multiple Predictors and a Survival Outcome
Tzu-Jung Huang, University of Washington; Alex Luedtke, University of Washington; Ian McKeague, Columbia University
1:25 PM
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High-Dimensional, Multiscale Online Changepoint Detection
Tengyao Wang, University College London; Yudong J Chen, University of Cambridge; Richard J. Samworth, University of Cambridge
2:05 PM
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Bayesian Integrative Approaches to Enable Precision Medicine
Veerabhadran Baladandayuthapani, University of Michigan
2:05 PM
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Efficient Designs of SLOPE Penalty Sequences in Finite Dimension
Yiliang Zhang, University of Pennsylvania; Zhiqi Bu, University of Pennsylvania
2:05 PM
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An Adaptive Multivariate Kernel-Based Test for Association with Multiple Quantitative Traits in High-Dimensional Data
Tao He, San Francisco State University; Brian Neal, San Francisco State University
2:15 PM
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Testing Joint Independence in High Dimensions
Faith Zhang, University of Massachusetts Amherst; Maryclare Griffin, University of Massachusetts Amherst
2:15 PM
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Integrative Factor Regression and Its Inference for Multimodal Data Analysis
Quefeng Li, University of North Carolina at Chapel Hill; Lexin Li, University of California, Berkeley
2:25 PM
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High-Dimensional Rank-Based Inference for Testing Relative Effects
Xiaoli Kong, Loyola University Chicago; Solomon Harrar, University of Kentucky
2:25 PM
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High-Dimensional Variable Selection for the Additive Cox Model with Interval-Censored Data
Tian Tian, University of Missouri-Columbia; Jianguo Sun, Univerisity of Missouri-Columbia
2:25 PM
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Testing a High-Dimensional Parameter in the Presence of High-Dimensional Nuisance Parameters
Wei Pan, University of Minnesota
2:30 PM
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High-Dimensional Inference for Multivariate Extremes with Spatial Scale-Aware Tail Dependence Structures
Likun Zhang, Lawrence Berkeley National Laboratory; Mark Risser, Lawrence Berkeley National Laboratory; Benjamin Shaby, Colorado State University
2:30 PM
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EAS Methodology for Grouped Variable Selection in Multivariate Linear Model
Salil Koner, North Carolina State University; Jonathan P Williams, North Carolina State University
2:45 PM
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Covariate-Assisted Sparse Tensor Completion and Inference
Hilda Somnooma Ibriga, Purdue University; Will Wei Sun, Purdue University
3:05 PM
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High-Dimensional Factor Analysis for Network-Linked Data
Jinming Li, University of Michigan; Gongjun Xu, University of Michigan; Ji Zhu, University of Michigan
3:15 PM
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A Univariate Approach to High-Dimensional Linear Regression via a Quasi-EM Algorithm
Alexander McLain, University of South Carolina; Anja Zgodic, University of South Carolina; Joshua Habiger, Oklahoma State University
3:30 PM
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Cancer Prediction by Detecting and Integrating Connectomic Networks and Marginally Weak Signals
Yanming Li, University of Kansas Medical Center; Fengwei Yang, University of Kansas Medical Center; Xueping Zhou, University of Pittsburgh; Devin C Koestler, University of Kansas Medical Center; Wei Chen, University of Pittsburgh
4:05 PM
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Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
Max Goplerud, University of Pittsburgh; Kosuke Imai, Harvard University; Nicole E Pashley, Rutgers University
4:45 PM
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Bayesian Variable Selection for High-Dimensional Rank Data
Susheela Singh, Youtube; Brian Reich, North Carolina State University; Can Cui, North Carolina State University; Ana-Maria Staicu, North Carolina State University
5:05 PM
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Principal Regression for High-Dimensional Covariance Matrices
Yi Zhao, Indiana University; Brian Caffo, Johns Hopkins University; Xi Luo, The University of Texas Health Science Center at Houston
5:05 PM
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A Generative Approach to Conditional Sampling
Xingyu Zhou, Department of statistics and actuarial Science, The university of Iowa; Jian Huang, Department of statistics and actuarial science, The university of Iowa; Yuling Jiao, School of Mathematics and Statistics, Wuhan University; Jin Liu, Duke-NUS Medical School, Health Service & Systems Research
5:15 PM
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Modeling Proportion Data: A Comparison of Beta and Logistic Models
Niloofar Ramezani, George Mason University; Alex Breno, George Mason University; Jill Viglione, University of Central Florida; Jennifer Johnson, Michigan State University; Faye Taxman, George Mason University
5:15 PM
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