Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: matrix returned 59 record(s)
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Sunday, 07/30/2017
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Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression
Lei Ding, Indiana University; Daniel J. McDonald, Indiana University
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Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
Youjin Lee, Johns Hopkins Bloomberg School of Public Health; Cencheng Shen, Johns Hopkins University; Joshua Vogelstein, Johns Hopkins
2:05 PM
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Matrix Completion with Covariate Information
Xiaojun Mao, Iowa State University; Song Xi Chen, Iowa State University; Raymond Wong, Iowa State University
2:20 PM
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On Aggregation of Strongly Dependent Network Flows
Jan Beran, University of Konstanz; Sucharita Ghosh, Swiss Federal Research Institute WSL; Haiyan Liu, University of Leeds
2:25 PM
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Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker, University of Southern California
3:05 PM
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Hypothesis Testing of Matrix Graph Model
Yin Xia, Fudan University
4:05 PM
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Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model
Jianqing Fan, Princeton University; Donggyu Kim, Princeton University
4:05 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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Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data
Suprateek Kundu, Emory University, Rollins School of Public Health
4:25 PM
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Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM
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Clustering DTI Data to Identify White Matter Fiber Bundles Using a Mixture of Langevin Distribution
Subhadip Pal, University of Louisville
4:45 PM
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Sparse Covariance Estimation via Concentration Inequalities
Adam Kashlak, Univ of Cambridge; Linglong Kong, University of Alberta
5:05 PM
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Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present
Xinghua Zheng, HKUST; Xinxin Yang, HKUST; Jiaqi Chen, Harbin Institute of Technology; Hua Li, Chang Chun University
5:20 PM
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Monday, 07/31/2017
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Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
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Autoregressive Model for Matrix Valued Time Series
Rong Chen, Rutgers University; Dan Yang, Rutgers University; Han Xiao, Rutgers University
9:00 AM
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Eigenvalues and Variance Components
Iain M Johnstone, Stanford Universty
9:25 AM
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Optimal Design of Experiments with the Observation Censoring Driven by Random Enrollment of Subjects
Xiaoqiang Xue; Valerii Fedorov, ICONplc
9:50 AM
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Composition Estimation from Sparse Count Data via a Regularized Likelihood
Hongzhe Li, University of Pennsylvania; Yuanpei Cao, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
10:35 AM
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Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM
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Streaming Matrix Completion with Automated Rank Selection
Milo Page, JMP/NCSU; Christopher M Gotwalt, JMP; Alyson Wilson, North Carolina State University
10:50 AM
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Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics
Xiao Li, University of Texas, School of Public Health, Department of Biostatistics; Michele Guindani, University of California, Irvine; Chaan Ng, The University of Texas MD Anderson C; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:20 AM
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Matrix-Free Computation of Spatial-Temporal Gaussian Autoregressions and Related Stat-Space Models
Chunxiao Wang, Oregon State University; Debashis Mondal, Oregon State University
12:05 PM
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Efficient Solution of Large Fixed Effects Problems with Clustered Standard Errors
Thomas Balmat, Duke University; Jerry Reiter, Department of Statistical Science, Duke University
3:05 PM
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Tuesday, 08/01/2017
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Permutation Based Testing on Covariance Separability
Seongoh Park; Johan Lim, Seoul National University; Xinlei Wang, Southern Methodist University; Sanghan Lee, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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Multivariate Distributions for Special Manifolds
Michael Jauch, Duke University; David Dunson, Duke University
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Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor
Yu Liu, University of Pittsburgh; Zhao Ren, University of Pittsburg
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A New Multivariate Measure of Agreement in Method-Comparison Studies
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
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Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
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High-Dimensional Discriminant Analysis Using Singular Wishart Distribution
Samprit Banerjee, Weill Medicine College of Cornell University; Stefano Monni, American University of Beirut, Lebanon
8:35 AM
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Regularized Discriminant Analysis in Presence of Cellwise Contamination
Stephanie Aerts, University of Liège; Ines Wilms, KU Leuven
9:50 AM
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A Hierarchical Spatio-Temporal Analog Forecasting Model for Nonlinear Ecological Processes
Patrick McDermott, University of Missouri; Christopher Wikle, University of Missouri; Joshua Millspaugh, University of Montana
10:55 AM
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Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel B. Rowe, Marquette University
11:05 AM
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A Simple and Adaptive Two-Sample Test in High Dimensions
Jin-Ting Zhang, National University of Singapore; Jin Guo, National University of Singapore; Bu Zhou, National University of Singapore; Ming-Yen Cheng, National Taiwan University
11:50 AM
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Regression Power Analysis for a Linear Regression Model When Regressors Are Matrix-Sampled
Stanislav Kolenikov, Abt Associates; Heather Hammer, Abt Associates
11:50 AM
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Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
11:50 AM
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FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI
Ranjan Maitra, Iowa State University; Israel Almodovar-Rivera, University of Puerto Rico
11:50 AM
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A New Multivariate Measure of Agreement in Method-Comparison Studies
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
12:00 PM
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Bayesian Low-Rank Graph Regression Models for Mapping Human Connectome Data
Eunjee Lee, University of Michigan; Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Joseph G Ibrahim, UNC; Yong Fan, University of Pennsylvania
2:05 PM
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Addressing 'Consistent but Fragile:' New Tools for Robust Covariance Matrix Estimation and Outlier Identification
Randal Verbrugge, Federal Reserve Bank of Cleveland; Christian Garciga, Federal Reserve Bank of Cleveland
2:35 PM
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Estimation of Correlation Matrix with Block Structure
Xialu Liu, San Diego State University
2:50 PM
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On Structure Testing for Component Covariance Matrices of a High-Dimensional Mixture
Jianfeng YAO, The University of Hong Kong; Weiming Li, Shanghai University of Finance and Economics
2:55 PM
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SHARP DETECTION in PCA UNDER CORRELATIONS
Edgar Dobriban, Stanford University
3:20 PM
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Wednesday, 08/02/2017
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Studying Crime Trends in the United States in the XXI Century
Xuwen Zhu, The University of Louisville; Volodymyr Melnykov, The University of Alabama
10:05 AM
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Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model
Jian Zhao, The EMMES Corporation
10:05 AM
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Symmetry, Saddle Points, and Global Geometry of Nonconvex Matrix Factorization
Xingguo Li, University of Minnesota; Jarvis Haupt, University of Minnesota; Zhaoran Wang, Princeton University; Junwei Lu, Princeton University; Han Liu, Princeton University; Raman Arora, Johns Hopkins University; Tuo Zhao, Georgia Institute of Technology
11:05 AM
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Change Point Estimation in a Dynamic Stochastic Block Model
Monika Bhattacharjee, Informatics Institute, University of Florida; George Michailidis, University of Florida; Moulinath Banerjee, University of Michigan
11:05 AM
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Fast Precision Matrix Estimation by Partial Correlation Screening
Jiashun Jin, Carnegie Mellon University; Zheng Ke, University of Chicago; Shengming Luo, Carnegie Mellon University
11:25 AM
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Bayesian Estimation of the Q Matrix in Cognitive Diagnosis Models
Yinghan Chen
11:35 AM
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Empirical Bayes Methods for Penalized Regression: Estimation for Noisy Matrices/Tensors Without Replicates and Penalized Regression with Unknown Norm Penalty
Maryclare Griffin; Peter Hoff, Duke University
12:05 PM
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Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
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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Dynamic Transelliptical Graphical Models for Sparse Precision Matrix Estimation
Tzu-Chun Wu, University of Cincinnati; Emily L. Kang, University of Cincinnati
2:50 PM
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Thursday, 08/03/2017
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Neutron Multiplicity: LANL W Covariance Matrix for Curve Fitting
James Wendelberger, Los Alamos National Laboratory and University of New Mexico
8:35 AM
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Fixed Support Positive-Definite Modification of Covariance Matrix Estimators via Linear Shrinkage
Johan Lim, Seoul National University; Young-Geun Choi, Fred Hutchinson Cancer Research Center; Junyong Park, University of Maryland at Baltimore County; Anindya Roy, University of Maryland at Baltimore County
9:35 AM
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Eigenvalues of Covariance Matrices of High-Dimensional Time Series
Alexander Aue, University of California, Davis; Haoyang Liu, University of California, Berkeley; Debashis Paul, University of California, Davis
9:50 AM
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Genotype and Haplotype Imputation by Matrix Completion Methods
Rory Wasiolek, University of California; Janet Sinshiemer, University of California; Kenneth Lange, UCLA
11:15 AM
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Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis
Lexin Li, University of California at Berkeley; Yin Xia, Fudan University
11:35 AM
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