Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: dimension reduction returned 53 record(s)
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Sunday, 07/31/2016
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Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania; John Muschelli, The Johns Hopkins University; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ciprian Crainiceanu, The Johns Hopkins University; Jonathan Gellar, Mathematica Policy Research; Philip Reiss, New York University/University of Haifa; Ani Eloyan, Brown University
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Selective Combinations of Central Matrices for Dimension Reduction
Son Nguyen
2:05 PM
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On Sufficient Dimension Reduction for Functional Data
Jun Song, Penn State University; Bing Li, Penn State University
2:20 PM
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Nonparametric Spatio-Temporal Analysis of Neuroimaging Data
Nathaniel Helwig, University of Minnesota - Twin Cities
2:30 PM
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Partial Projective Resampling Method for Dimension Reduction: With Applications to Partially Linear Models
Haileab Hilafu, University of Tennessee; Wenbo Wu, University of Oregon
3:05 PM
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On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College
3:20 PM
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Dimension Reduction and Estimation in Secondary Analysis of Case-Control Studies
Liang Liang, Texas A&M University; Yanyuan Ma, University of South Carolina; Raymond Carroll, Texas A&M University
4:20 PM
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AC-PCA: Simultaneous Dimension Reduction and Adjustment for Confounding Variation
Zhixiang Lin, Stanford University; Can Yang, Hong Kong Baptist University; Hongyu Zhao, Yale University; Wing Hung Wong, Stanford University
4:35 PM
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Bayesian Clustering and Dimension Reduction in Multivariate Extremes
Sabrina Vettori, KAUST; Raphaël Huser, KAUST; Marc Genton, KAUST
5:05 PM
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Monday, 08/01/2016
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Sufficient Markov Decision Processes
Longshaokan Wang, North Carolina State University
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An ADMM-Based Algorithm for Envelope Estimation
Emre Barut, The George Washington University
10:50 AM
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Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
Clara Happ, Ludwig-Maximilians-University Munich; Sonja Greven, Ludwig-Maximilians-University Munich
10:55 AM
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Process-Based Hierarchical Models for Coupling High-Dimensional LiDAR and Forest Variables Over Large Geographic Domains
Andrew Finley, Michigan State University; Sudipto Banerjee, University of California at Los Angeles; Yuzhen Zhou, University of Nebraska - Lincoln; Bruce Cook, NASA
11:35 AM
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A Two-Stage Approach to Analysis of Health Effects of Environmental Chemical Mixtures: Informed Sparse Principal Component Analysis Followed by Segmented Regression
Roman Jandarov, University of Cincinnati; Susan Pinney, University of Cincinnati; Liang Niu, University of Cincinnati
11:50 AM
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Manifold Learning: Dimension Reduction Versus Parameterization Recovery
Michael Trosset, Indiana University; Lijiang Guo, Indiana University
12:05 PM
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The Blessing of Derivatives in Nonparametric Estimation
Xiaowu Dai, University of Wisconsin - Madison; Grace Wahba, University of Wisconsin - Madison; Peter Qian, University of Wisconsin - Madison
2:20 PM
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Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California at Berkeley; Lexin Li, University of California at Berkeley
3:05 PM
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Tuesday, 08/02/2016
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Estimating Coefficients of Direction in Single Index Model for Large $P$ Small $N$ Problem
Jin Xie, University of Kentucky; Xiangrong Yin, University of Kentucky
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Improved Disease Burden Modeling from Administrative Health Care Data
Ralph (PhD Student) Ward , Medical University of South Carolina; Mulugeta Gebregziabher, Medical University of South Carolina; Leonard Egede, Health Equity and Rural Outreach Innovation Center; Lewis Frey, Medical University of South Carolina; Viswanathan Ramakrishnan, Medical University of South Carolina; Robert Axon, Medical University of South Carolina
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Spatio-temporal analysis of precipitation data via a sufficient dimension reduction in parallel
Sai Kumar Popuri, University of Maryland Baltimore County; Nagaraj K. Neerchal, University of Maryland Baltimore County; Kofi Adragni, University of Maryland Baltimore County; Amita Mehta, Joint Center for Earth Systems Technology
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Dimension-Reduction Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Department of Health; Kendell Churchwell, C Spire; James Veillette, C Spire
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
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Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
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Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction
Seung Jun Shin, Korea University; Andreas Artemiou, Cardiff University
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A New Approach to Dimensional Reduction for Volatility of a Stationary Multivariate Time Series
Chung Eun Lee, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
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Fisher Discrimination Matrix and Dimension Reduction
Debmalya Nandy, Penn State University; Weixin Yao, University of California at Riverside; Bruce George Lindsay, Penn State University; Francesca George Chiaromonte, Penn State University
8:50 AM
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Principal Quantile Regression for Sufficient Dimension Reduction with Heteroscedasticity
Chong Wang, North Carolina State University; Yichao Wu, North Carolina State University; Seeing Jun Shin, Korea University
9:15 AM
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Principal Nested Shape Space Analysis of Molecular Dynamics Data
Ian Dryden, University of Nottingham; Kwang-Rae Kim, University of Nottingham; Huiling Le, University of Nottingham
10:35 AM
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A New Approach to Dimensional Reduction for Volatility of a Stationary Multivariate Time Series
Chung Eun Lee, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:45 AM
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Link-Free Identification of Simple Index Variables for the Prediction of Differential Treatment Response
Hongjie Zhu, Sanofi
11:05 AM
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
11:10 AM
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Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
11:10 AM
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Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction
Seung Jun Shin, Korea University; Andreas Artemiou, Cardiff University
11:35 AM
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Dimension-Reduction Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Department of Health; Kendell Churchwell, C Spire; James Veillette, C Spire
11:40 AM
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An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Covariables Models
Lixing Zhu, Hong Kong Baptist University; Hira L. Koul, Michigan State University; Chuan-Long Xie, Hong Kong Baptist University
11:50 AM
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Sufficient Dimension Reduction with Missing Data
Qi Xia, Temple University; Yuexiao Dong, Temple University; Chengyong Tang, Temple University
2:20 PM
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Statistical Analysis of Genomics Data for Disease Susceptibility and Drug Response
Jun Xie, Purdue University
3:05 PM
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Wednesday, 08/03/2016
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Properties of Adaptive Clinical Trial Signature Design in the Presence of Gene and Gene-Treatment Interaction
Alexander Cambon, University of Louisville; Shesh N. Rai, University of Louisville; Guy Brock, University of Louisville
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An Estimating Equation Approach to Dimension Reduction in Longitudinal Data
Liping Zhu, Renmin University of China; Li Jin, Fudan University; Kelin Xu, Fudan University; Wensheng Guo, University of Pennsylvania Perelman School of Medicine; Momiao Xiong, The University of Texas Health Science Center at Houston
11:00 AM
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Spatial Envelope
Hossein Rekabdarkolaee, Virginia Commonwealth University
11:05 AM
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Dating Structural Breaks in Functional Data Without Dimension Reduction
Ozan Sonmez, University of California at Davis; Alex Aue, University of California at Davis; Gregory Rice, University of Waterloo
11:20 AM
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Using Machine Learning Algorithms for Handling Missingness: Application to Predicting Drug-Disease and Drug-Drug Interactions
Ruoshui Zhai, Brown University; Roee Gutman, Brown University
11:35 AM
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Integrating Independent Spatio-Temporal Models to Assess Population Trends
John VanBuren, University of Iowa; Jacob J. Oleson, University of Iowa
11:55 AM
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Archetypal Analysis: Three Case Studies
Anna Quach; Adele Cutler, Utah State University
3:05 PM
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Sufficient Dimension Reduction for Treatment Effect Estimation
Wenbo Wu, University of Oregon; Craig A. Rolling, University of Oregon
3:20 PM
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A Conjugate Model for Dimensional Analysis
Weijie Shen, Google; Dennis K. J. Lin, Penn State University
3:35 PM
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Thursday, 08/04/2016
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Efficient Dimension Reduction for a Group of Images
Dong Wang; Haipeng Shen, The University of Hong Kong; Young Truong, The University of North Carolina at Chapel Hill
8:35 AM
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Comparing the Performances of Different Parametrizations Used for Dimension Reduction in Approximating Shapes of Planar Contours
Chalani Prematilake, Texas Tech University; Leif Ellingson, Texas Tech University
8:50 AM
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A Bayesian Approach for Envelope Models
Zhihua Su; Kshitij Khare, University of Florida; Subhadip Pal, Emory University
8:55 AM
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Testing Statistical Significance of Canonical Correlation Coefficients
Yunjin Choi, Stanford University; Robert Tibshirani, Stanford University; Jonathan Taylor, Stanford University
9:05 AM
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Dimension Reduction for Identification of Candidate Immune Correlates of Vaccine Efficacy
Paul T. Edlefsen, Fred Hutchinson Cancer Research Center
9:15 AM
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Selecting Basis Quantities for Dimensional Analysis: A Data-Driven Approach
Ching-Chi Yang, Penn State University; Dennis K. J. Lin, Penn State University
9:20 AM
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Reversible-Jump MCMC for Likelihood-Based Finite Mixture Models for Ordinal Data
Daniel Fernandez Martinez, New York University
11:50 AM
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