Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Dimension Reduction returned 38 record(s)
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Sunday, 07/30/2017
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Sufficient Markov Decision Processes with Alternating Deep Neural Networks
Longshaokan Wang, North Carolina State University; Eric Laber, North Carolina State University; Katie Witkiewitz, University of New Mexico
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A NEW APPROACH to DIMENSION REDUCTION for MULTIVARIATE TIME SERIES
Xiaofeng Shao, University of Illinois, At Urbana-Champaign
4:05 PM
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Approximate Sufficient Dimension Reduction: a Multiresolution Analysis
Siamak Noorbaloochi, VA Health Care System; David Nelson, Dept Veterans Affairs, Univ Minnesota
4:05 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Constrained Factor Model for High-Dimensional Matrix-Variate Time Series
Yi Chen, Rutgers Univ Statistics Dept; Rong Chen, Rutgers University
4:25 PM
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Finite Sample Breakdown Point for Sliced Inverse Regression
Ulrike Genschel, Iowa State University
5:20 PM
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Hierarchical Model for Species Abundance Using Efficient Dimension Reduction for Lattice Data
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
5:20 PM
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Monday, 07/31/2017
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Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction
Efstathia Bura, TU Wien; Liliana Forzani, Universidad Nacional del Litoral; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:35 AM
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Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Wei Qian, Rochester Institute of Technology; Shanshan Ding, University of Delaware; Dennis Cook, University of Minnesota
9:35 AM
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On Sufficient Dimension Reduction with Missing Responses Through Estimating Equations
Yuexiao Dong, Temple University; Qi Xia, Temple University; Chengyong Tang, Temple University
10:35 AM
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Simultaneous Variable Selection and Structural Dimension Estimation in Sufficient Dimension Reduction
Haileab Hilafu, University of Tennessee; Wenbo Wu, University of Oregon
10:55 AM
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Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM
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Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
Wenhui Sheng; Xin Chen, National University of Singapore; Xiangrong Yin, University of Kentucky
11:35 AM
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An Adaptive Approach to Dimension Reduction
Qin Wang, Virginia Commonwealth University
11:55 AM
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Tensor Sufficient Dimension Reduction
Wenxuan Zhong, University of Georgia
2:05 PM
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Individualized Multilayer Tensor Learning with an Application in Imaging Analysis
Xiwei Tang, University of Illinois at Urbana-Champaign; Xuan Bi, Yale University; Annie Qu, University of Illinois at Urbana-Champaign
3:25 PM
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Tuesday, 08/01/2017
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Estimating an Inverse Mean Subspace
Jiaying Weng; Xiangrong Yin, University of Kentucky
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Generalized Bi-Plots for Visualized Multidimensional Projections
James Fry, Virginia Tech; Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech
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On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College; Yeying Zhu, University of Waterloo; Debashis Ghosh, Colorado School of Public Health
8:35 AM
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Supervised Dimension Reduction with Application to Driver Gene Detection
Yichen Cheng
8:35 AM
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Generalized Bi-Plots for Visualized Multidimensional Projections
James Fry, Virginia Tech; Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech
8:50 AM
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On the Similarity of Principal Components, Random Projections and Random Column Subsampling for Dimension Reduction in High-Dimensional Linear Regression
Martin Slawski, George Mason Univ
9:05 AM
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Information Tests on Statistical Submanifolds
Michael Trosset, Indiana University; Carey E Priebe, Johns Hopkins University
9:20 AM
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Learning heterogeneity in causal inference using sufficient dimension reduction
Wenbo Wu, University of Oregon; Wei Luo, Baruch College; Yeying Zhu, University of Waterloo
9:25 AM
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Dimension Selection for Two-Step Linear Discriminant Analysis
Ting-Li Chen, Institute of Statistical Sciences, Academia Sinica; Yi-Heng Sun, National Taiwan University
9:35 AM
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Estimating an Inverse Mean Subspace
Jiaying Weng; Xiangrong Yin, University of Kentucky
10:35 AM
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Bayesian Clustering and Dimension Reduction in Multivariate Air Pollution Extremes
Sabrina Vettori, King Abdullah University of Science and Technilogy; Raphael Huser, KAUST; Marc G. Genton, KAUST
11:35 AM
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Dimension Reduction in the Study of Etiologic Heterogeneity
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center
3:35 PM
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Wednesday, 08/02/2017
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Multiple change-point detection via multiscale MOSUM procedure with localised pruning
Haeran Cho, University of Bristol
8:35 AM
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Machine Learning Methods in the Statistical Prediction of Health Outcomes
William Padula, Johns Hopkins Bloomberg SPH
10:55 AM
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Exploratory and Data Visualization Methods for High-Dimensional Brain Signals
Hernando Ombao, KAUST and UC Irvine; Yuxiao Wang, University of California, Irvine; Chee-Ming Ting, KAUST
11:00 AM
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Analysis of dimension reduction in Gaussian process regression
Minyong Lee, Stanford University; Art Owen, Stanford University
11:00 AM
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Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, University of California, Davis; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:05 PM
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A Useful Scatterplot Matrix for Principal Component Analysis
Santiago Velilla, Universidad Carlos III
2:20 PM
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A Score-Based Test for Detection of Gene-Environment Interaction in Families
Saonli Basu, University of Minnesota; Brandon Coombes, University of Minnesota; Matt McGue, University of Minnesota
3:25 PM
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