Keyword Search
Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: dimension reduction returned 72 record(s)
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Sunday, 07/28/2019
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An Analysis of Immigrants and House Condition in New York City
Xiang Shen, George Washington University; Mingze Zhang, George Washington University; Shunyan Luo, George Washington University
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Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect
Trinetri Ghosh, Pennsylvania State University; Yanyuan Ma, The Pennsylvania State University; Xavier de Luna, Umeå School of Business,Economics and Statistics at Umeå University
2:35 PM
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Adaptive Splitting Bayesian Regression Tree Models for Image Analysis
Matthew Pratola; David Higdon, Virginia Tech
3:25 PM
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Dimension Reduction for High-Dimensional Censored Data
Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
4:30 PM
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Semiparametric Sufficient Dimension Reduction for Populations with Structured Heterogeneity
Jared Davis Huling, The Ohio State University; Menggang Yu, University of Wisconsin-Madison
5:20 PM
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Monday, 07/29/2019
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Sparse SIR: Optimal Rates and Adaptive Estimation
Kai Tan
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Sufficient Dimension Reduction via Fourier Transformation
Pei Wang, University of Kentucky; Xiangrong Yin, University of Kentucky
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Bayesian Quantile Envelope Model
Minji Lee, University of Florida; Saptarshi Chakraborty, Memorial Sloan Kettering Cancer Center; Zhihua Su, University of Florida
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Rank Selection of Wavelet Bases in a Spatial Mixed Effects Model Using a Two-Step Bayesian Forward Selection Algorithm
Jaehui Lim, Florida State University; Eric Chicken, Florida State University; Jonathan R. Bradley, Florida State University
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Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
John McMorris; Yew-Meng Koh, Hope College
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Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, peking university; Fang Yao, peking university
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Does T-SNE Identify False Structure? Implications of Clusterability on T-SNE Maps
Paul Harmon, Montana State University; Mark Greenwood, Montana State University; Tristan Anacker, Montana State University
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Learning and Exploiting Low-Dimensional Structure in High-Dimensional Data
David Dunson, Duke University
8:35 AM
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Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
John McMorris; Yew-Meng Koh, Hope College
8:40 AM
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Representative Approach for Big Data Dimension Reduction with Binary Responses
Xuelong Wang, University of Illinois at Chicago
8:50 AM
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Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, peking university; Fang Yao, peking university
9:00 AM
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A Sufficient Dimension Reduction Method via Expectation of Conditional Difference
Qingcong Yuan, Miami University; Wenhui Sheng, Marquette University; Xiangrong Yin, University of Kentucky
9:05 AM
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A General Framework for Sparse Sufficient Dimension Reduction
Wei Luo, Zhejiang University
9:15 AM
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Does T-SNE Identify False Structure? Implications of Clusterability on T-SNE Maps
Paul Harmon, Montana State University; Mark Greenwood, Montana State University; Tristan Anacker, Montana State University
9:35 AM
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High-Dimensional Prediction with Sparse Principal Components
Lei Ding, Indiana University Bloomington; Daniel McDonald, Indiana University Bloomington
10:05 AM
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Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Time Series
Seyed Yaser Samadi, Southern Illinois University, Carbondale; Priyan Alwis, Southern Illinois University, Carbondale
10:05 AM
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Detection of Set-Based Gene-Environment Interactions for Substance Use Disorders
Saonli Basu, University of Minnesota, Biostatistics SPH; Brandon Coombes, Mayo Clinic; Matt McGue, University of Minnesota
10:55 AM
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Dimension Reduction for Functional Databased on Weak Conditional Moments
Bing Li, The Pennsylvania State University; Jun Song, University of North Carolina at Charlotte
11:00 AM
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Supervised Kernel PCA for Longitudinal Data in Mental Health
Gregory Ryslik, Mindstrong Health; Patrick Staples, Mindstrong Health; Min Ouyang, Mindstrong Health; Paul Dagum, Mindstrong Health
11:05 AM
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Bi-Orthogonal Tensor Decomposition for Image Style Matching
Yutong Li, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:05 AM
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Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis
Sven Serneels, Aspen Technology
11:15 AM
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Nonconvex Statistical Learning for the Dimensionality Reduction of High-Dimensional Data
Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Shiqian Ma, University of California, Davis; Hui Zou, University of Minnesota
11:25 AM
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Multivariate Functional Factor Models with Time-Varying Clustering
Philip Andrew White, Duke University; Alan E Gelfand, Duke University
11:35 AM
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Breaking Curse of Dimensionality in Nonparametrics
Helen Zhang, University of Arizona
2:05 PM
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On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University
2:05 PM
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Moment Kernels for Estimating Central Mean Subspace and Central Subspace
Weihang Ren; Xiangrong Yin, University of Kentucky
2:05 PM
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A Sparse Sufficient Dimension Reduction Approach for Multiclass Linear Discriminant Analysis
Jing Zeng, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
2:20 PM
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Likelihood-Based Dimension Reduction for Tensor Data
Ning Wang, Florida State University; Xin Zhang, Florida State University; Bing Li, The Pennsylvania State University
2:35 PM
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Robust Dimension Reduction Methods
Prabha Shrestha; Wei Lin, Ohio University
2:50 PM
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A CONSISTENT INDEPENDENCE TEST via PROJECTED MUTUAL INFORMATION
Zhanrui Cai, Penn State University; Yaowu Zhang, Shanghai University of Finance and Economics; Liping Zhu, Renmin University of China; Runze Li, Penn State University; Xu Guo, Beijing Normal University
3:35 PM
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Tuesday, 07/30/2019
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High-Throughput Screening of Features Which Moderate Treatment Effect on Clinical Outcome
Kushal Shah, University of North Carolina (UNC); Michael Kosorok, University of North Carolina at Chapel Hill
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Aggregated Pairwise Classification of Statistical Shapes
Min Ho Cho, The Ohio State University
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Semi-Supervised, Dynamic Class-Informative Feature Learning
Vincent Pisztora
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Integrated Principal Components Analysis
Tiffany M Tang, University of California at Berkeley; Genevera Allen, Rice University
8:35 AM
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Semi-Supervised, Dynamic Class-Informative Feature Learning
Vincent Pisztora
8:40 AM
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Adverse Outcome Pathway Network Guided High-Dimensional Modeling for Risk Assessment Regarding Drug Induced Liver Injury
Dong Wang, FDA National Center for Toxicological Research (NCTR); Kapil Khadka, National Center for Toxicological Research/FDA
8:50 AM
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Aggregated Pairwise Classification of Statistical Shapes
Min Ho Cho, The Ohio State University
9:00 AM
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Distance-Based Independence Screening for Canonical Analysis
Xiaoming Huo, Georgia Institute of Technology; Chuanping Yu, Georgia Institute of Technology
10:35 AM
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Feature Selection and Dimension Reduction for Single Cell RNA-Seq Based on a Multinomial Model
Frederick William Townes, Harvard Biostatistics; Martin Aryee, Massachusetts General Hospital; Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health; Rafael Irizarry, Harvard University
10:35 AM
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Integrative Factorization of Bidimensionally Linked Matrices
Eric Lock, University of Minnesota; Jun Young Park, University of Minnesota
11:15 AM
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Integrated Principal Components Analysis
Tiffany M Tang, University of California at Berkeley; Genevera Allen, Rice University
2:05 PM
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Geometric Bayes
Andrew Holbrook, UCLA Department of Human Genetics
3:05 PM
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Wednesday, 07/31/2019
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Low Dimensional Stationary Subspace Representation of High-Dimensional Time Series with Applications to Brain Signals
Anass El Yaagoubi Bourakna; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Raanju Sundararajan, King Abdullah University of Science and Technology
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ERP Algorithmic Source Separation (ERPASS) in Multi-Task EEG Experiments
Emilie Campos, UCLA
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High-Dimensional Inference via Adaptive Bayes
Jiapeng Liu, Purdue Unversity; Yixuan Qiu, Carnegie Mellon University; Xiao Wang, Purdue University
8:50 AM
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Bayesian Partially Shared Latent Factor Joint Model for Chemical Structure and Dose Response Curves
Kelly R. Moran, Duke University; Amy H Herring, Duke University; David Dunson, Duke University
9:15 AM
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Integrative Analysis of Domains of Physical Activity, Sleep, and Circadian Rhythmicity Collected by Wearables
Junrui Di, Johns Hopkins Bloomberg School of Public Health; Vadim Zipunnikov, Johns Hopkins University
9:35 AM
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Linked Matrix Factorization
Michael O'Connell, Miami University
9:35 AM
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A Parsimonious Personalized Dose Finding Model via Dimension Reduction
Wenzhuo Zhou, University of Illinois Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
9:50 AM
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Constructed Composite Response: a Framework for Constructing Targeted Latent Variables
Christopher Barbour, National Institutes of Health; Mark Greenwood, Montana State University; Dominique Zosso, Montana State University; Bibiana Bielekova, National Institute of Allergy and Infectious Diseses
10:05 AM
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Sparse Groupwise Envelope Model for Response Variable Selection in Imaging Genetic Analysis
Yeonhee Park, Medical University of South Carolina; Zhihua Su, University of Florida; Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill
10:35 AM
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Screening of Interaction Effects for Prediction Modeling of Environmental Chemical Mixture Exposures
Li Luo, University of New Mexico
10:35 AM
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Integrating Multi-Source Block-Wise Missing Data in Model Selection
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
10:50 AM
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Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
Xiwei Tang, University of Virginia; Xuan Bi, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
11:00 AM
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A Unified Exposure Prediction Approach for Multivariate Spatial Data
Roman Jandarov, University of Cincinnati College of Medicine; Zheng Zhu, University of Cincinnati College of Medicine
11:25 AM
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Bayesian Sparse Functional Principal Components Analysis Models Dynamic Temporal Changes in Longitudinal Microbiome Studies
Lingjing Jiang, University of California, San Diego; Wesley Kurt Thompson, University of California, San Diego; Rob Knight, UC San Diego
12:05 PM
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Randomized Sparse PCA Using the Variable Projection Method
N. Benjamin Erichson, Univ of California - Berkeley
2:25 PM
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Thursday, 08/01/2019
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Efficient Estimation of a Hazard-Based Partial Sufficient Dimension Reduction Model for Right-Censored Data
Ming-Yueh Huang, Academia Sinica
8:50 AM
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Multivariate Analysis of High-Dimensional Non-Negative Responses Over Large Spatial Domains Using NNGPs
Daniel Taylor-Rodriguez, Portland State University; Andrew Finley, Michigan State University
9:00 AM
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Getting Multiway Arrays in Order with Co-Manifold Learning
Eric Chi, North Carolina State University; Gal Mishne, Yale University; Ronald Coifman, Yale University
9:15 AM
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Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, University of Illinois Urbana and Champaign; Xiwei Tang, University of Virginia; Annie Qu, University of Illinois at Urbana-Champaign
9:35 AM
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Model-Based Clustering of Tensor Data
Xin Zhang, Florida State University
9:55 AM
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A Most Informative Index of Severity of Mental Health
Barbara Clothier, CCDOR-Mpls VAHCS; Maureen Murdoch, CCDOR-Mpls VAHCS and University of MN; Siamak Noorbaloochi, CCDOR-Mpls VAHCS and University of MN
10:05 AM
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Dimension Reduction and Classification of Imbalanced Data
Elizabeth Chou, National Chengchi University
10:35 AM
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A Single-Index Informative Summary
Siamak Noorbaloochi; Barbara Clothier, CCDOR-Mpls VAHCS
11:50 AM
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Efficient Local Kernel Estimation Using Structured Random Forests
Joshua Loyal, University of Illinois Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign; Xin Zhang, Florida State University; Yifan Cui, University of Pennsylvania
12:05 PM
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Integrating Pathway Information with Boosting to Construct a Sufficient Gene Set for Phenotype Classification
Nusrat Jahan, James Madison University; Huining Kang, University of New Mexico; Li Luo, University of New Mexico
12:05 PM
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