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Keyword Search Criteria: Multivariate returned 122 record(s)
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Sunday, 07/29/2018
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A Bayesian Model for Multivariate Micro-Level Insurance Claims
Marie-Pier Côté, Universite Laval; Christian Genest, McGill University; David A Stephens, McGill University
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Probabilistic Partial Least Squares Regression Applied to Longitudinal and Cross-Sectional Compositional Data
Peter A Tait, McMaster Univeristy; Paul McNicholas, McMaster University
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Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
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Genetic Analysis of High-Dimensional Phenotypes
Michael Philip Epstein, Emory University
2:25 PM
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Efficient Analysis for fMRI Studies
Lan Liu, University of Minnesota at Twin Cities
2:35 PM
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Joint Modeling of Multiple Time-To-Event Outcomes
Shanshan Zhao, National Institute of Environmental Health Sciences; Ross Prentice, Fred Hutchinson Cancer Research Center
2:45 PM
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Spectral Causality in Multivariate Signals: Beyond Linearity
Hernando Ombao, King Abdullah University of Science and Technology; Abdulrahman Althobaiti, Rutgers University and King Abdullah University of Science and Technology
2:55 PM
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Joint Modeling of Longitudinal Multidimensional Quality of Life Measures in Chronic Dialysis Patients
Sudeshna Paul, Emory University; Mi-Kyung Song, Emory University
3:05 PM
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Optimal Pseudolikelihood Estimation in Multivariate Missing Data with Nonignorable Nonresponse
Jiwei Zhao, State University of New York At Buffalo; Yanyuan Ma, Penn State University
3:25 PM
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Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
3:40 PM
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Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM
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Dancing with the Software: Selecting Your Imputation Partner
Andrew Dau, USDA/NASS; Darcy Miller, National Agricultural Statistics Service
4:05 PM
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Asymptotics of Generalized Depth-Based Scale Processes and Applications
Jin Wang, Northern Arizona University
4:20 PM
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Multivariate FDR Control for Omics Data Integration
Ali Shojaie, University of Washington; Kasra Alishahi, Sharif University of Technology; Ahmad Reza Ehyaee, Sharif University of Technology
4:25 PM
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Statistical Inference for Multivariate Stochastic Differential Equations via Data Imputation
Ge Liu, Ohio State University; Peter Craigmile, The Ohio State University; Radu Herbei, The Ohio State University
4:25 PM
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Build-Your-Own Dashboards for Metric Choice
Peter Lenk, University of Michigan; Ofer Mintz, University of Sydney; Yakov Bart, Northeastern University; David Reibstein, University of Pennsylvania
4:35 PM
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Age-Specific Distributed Lag Models for Assessing the Impact of Heat on Health
Matthew Heaton, Brigham Young University; Cassandra Olenick, National Center for Atmospheric Research
4:45 PM
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Model Based Clustering via Copula and Applications
Marta Nai Ruscone, LIUC
4:50 PM
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Nonlinear Multivariate Functional PCA
Jun Song, UNC Charlotte; Bing Li, The Pennsylvania State University
5:05 PM
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Bayesian Multivariate Longitudinal Models for Bariatric Surgery Outcomes
Heidi Fischer, Kaiser Permanente Southern California; Karen Coleman, Kaiser Permanente Southern California; Robert Weiss, UCLA; Stephen Derose, Kaiser Permanente Southern California; Allon Friedman, Indiana University School of Medicine; David H. Smith, Kaiser Permanente Center for Health Research; Talha Imam, Kaiser Permanente Southern California
5:20 PM
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Estimating the Changing Nature of Scotland's Health Inequalities Using a Multivariate Spatio-Temporal Model
Eilidh Jack, University of Glasgow; Duncan Lee, University of Glasgow; Nema Dean, University of Glasgow
5:25 PM
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Monday, 07/30/2018
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Graphical Model for Continuous Longitudinal Data
Lei Wang, The University of Queensland
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Multivariate Change Point Detection
Michael Messer, Institute of Mathematics, Goethe University, Frankfurt, Germany; Gaby Schneider, Institute of Mathematics, Goethe University, Frankfurt, Germany
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Hierarchical-Block Conditioning Approximations for High-Dimensional Multivariate Normal Probabilities
Jian Cao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology; David E Keyes, King Abdullah University of Science and Technology; George Turkiyyah, King Abdullah University of Science and Technology
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Multivariate Zero-Inflated Poisson Regression
Yang Wang, University of Alabama
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A Noval Method to Estimate Human Judgment on Words Similarities
Guan I Wu, UCLA; Ker-Chau Li, Institute of Statistical Science, Academia Sinica
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A Bayesian Hierarchical Multivariate Poisson-Lognormal Model to Estimate Age- and Cause-Specific Child Mortality in Data-Scarce Countries
Austin Edward Schumacher, University of Washington; Jon Wakefield, Univ of Washington
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Multivariate Mediation Analysis with a Multi-Categorical Exposure Variable: An Application to Explore Racial and Ethnic Disparities in Obesity
Qingzhao Yu, Louisiana State University Health Sciences Ctr; Lin Zhu, Louisiana State University Health Sciences Ctr; Bin Li, Louisiana State University
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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
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Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method
Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
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Depth-Based Clustering for Multivariate Time Series with Applications in Wind Energy
Laura L. Tupper, Williams College
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Building Representative Matched Samples in Large-Scale Observational Studies with Multivalued Treatments
Jose Zubizarreta, Harvard University
8:35 AM
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Anticipating Brexit Effects; a Multivariate Approach to Detecting Change Points
Charlotte Gaughan, Office for National Statistics
8:35 AM
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Nonparametric Test for Homogeneity of Covariance in Multivariate Regression
Yan Xu, University of Kentucky
8:50 AM
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Optimal Tradeoffs Between Generalized Design Goals in Multivariate Matching
Samuel David Pimentel, University of California, Berkeley; Rachel R. Kelz, University of Pennsylvania
9:00 AM
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Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method
Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
9:00 AM
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New Approach to Dimention Reduction for Volatility of Stationary Multivariate Time Series"
Chung Eun Lee, University of Tennessee, Knoxville; Xiaofeng Shao, University of Illinois at Urbana-Champaign
9:35 AM
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Regularized Estimation of High-Dimensional Spectral Density
Sumanta Basu, Cornell University
9:55 AM
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Analysis of Rapidly Evolving Multivariate Oscillations
Sofia C Olhede, University College London; Adam Sykulski, Lancaster; Arthur Guillaumin, UCL; Jonathan Lilly, NWRA; Jeffrey Earley, NWRA
10:35 AM
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Sparse Single Index Models for Multivariate Responses
Yuan Feng, North Carolina State University; Luo Xiao, North Carolina State University; Eric Chi, North Carolina State University
10:35 AM
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Multivariate Mediation Analysis with a Multi-Categorical Exposure Variable: An Application to Explore Racial and Ethnic Disparities in Obesity
Qingzhao Yu, Louisiana State University Health Sciences Ctr; Lin Zhu, Louisiana State University Health Sciences Ctr; Bin Li, Louisiana State University
11:15 AM
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Adjusting Quality Rankings for Patient Socioeconomic Characteristics
Alan Zaslavsky, Harvard University Medical School
11:15 AM
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM
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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
11:45 AM
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Maximum Diversity Weighting for Biomarkers with Application in HIV-1 Vaccine Studies
Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
11:55 AM
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Bessel Functions and the Ordering of Changes in Biomarkers, with Application to the Hypothesized Biomarker Model in Preclinical Alzheimer Disease
Chengjie Xiong, Washington University in St Louis; Jingqin Luo, Washington University; John Morris, Washington University
12:05 PM
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Multivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data
Gaurav Agarwal, King Abdullah University of Science and Technology (KAUST); Ying Sun, KAUST
2:35 PM
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A Cluster Elastic Net for Multivariate Regression
Ben Sherwood, University of Kansas; Bradley S Price, West Virginia University
2:50 PM
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Tuesday, 07/31/2018
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An Improved Inference Method for Multivariate Meta-Analysis and Meta-Regression
Hisashi Noma, The Institute of Statistical Mathematics
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Univariate, Multivariate and Model-Based Prediction on Truncated Continuous Data with Shiny/R
Qianqiu Li, Janssen Research & Development
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Predicting Mood Using Multivariate Mobile Sensor Data Streams for Medical Interns
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan; Edward Ionides, University of Michigan
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Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company
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A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
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A Framework for Multivariate Causal Mediation Analysis with Microbiome Data
Alexander V Alekseyenko, Medical University of South Carolina
8:35 AM
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Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM
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Nonparametric Multivariate Density Estimation Under Dependence
Jan Beran, University of Konstanz
8:35 AM
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Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company
9:10 AM
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A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
9:20 AM
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Multivariate Meta-Analysis Model for the Difference in Restricted Mean Survival Times
Isabelle R Weir, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health
9:35 AM
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Nonlinear Support Vector Machine for Multivariate Functional Data with Applications to fMRI and EEG Data Analysis
Zheye Yuan, Penn State Univ; Bing Li, The Pennsylvania State University
9:35 AM
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Multivariate Network Meta-Analysis to Mitigate Outcome Reporting Bias
Stacia Marie DeSantis, University of Texas Health Science Center at Houston
9:55 AM
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Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Karen McGaughey, Cal Poly State University
9:55 AM
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Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
10:35 AM
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Distribution of Interpoint Distances for Discrete Multivariate Distributions
Yu Song; Reza Modarres, The George Washington University
10:35 AM
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A Comparison of Clustering Algorithms Used for Multivariate Stratification of Primary Sampling Units
Thomas Chesnut, U.S. Census Bureau; Padraic Murphy, U.S. Census Bureau
10:35 AM
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A Unified Approach to Define Some Multivariate Distributions
Khalil Shafie, University of Northern Colorado
10:50 AM
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High-Dimensional Sparse Generalized Eigenvalue Problem and Its Applications to Multivariate Statistics
Kean Ming Tan, University of Minnesota; Zhaoran Wang, Northwestern University; Han Liu, Northwestern University; Tong Zhang, Tencent Technology
10:50 AM
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
11:10 AM
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Sequential Bayesian Analysis of Multivariate Count Data
Tevfik Aktekin , University of New Hampshire; Nick Polson, University of Chicago ; Refik Soyer , George Washington University
11:50 AM
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A Semiparametric Approach for Modeling Multivariate Nonlinear Time Series
Seyed Yaser Samadi, Southern Illinois University, Carbondale
11:50 AM
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A Conditional Test for Homogeneity of Several Order-Restricted Normal Mean Vectors
Madhurima Majumder, Bayer Pharmaceuticals; Michael McDermott, University of Rochester Medical Center
12:05 PM
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Assessing Divide-and-Conquer Latent Class Analysis
Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:05 PM
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Bayesian Analysis of Multivariate Crash Counts Using Copulas
Eun Sug Park, Texas A&M Transportation Institute; Man-Suk Oh, Ewha Womans University; Rosy Oh, Ewha Womans University; Jae Youn Ahn, Ewha Womans University
2:05 PM
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Multivariate Analysis of Sensory and Consumer Data
Jianfeng Ding, SAS Institute
2:05 PM
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Multivariate Calibration with Robust Signal Regression
Bin Li, Louisiana State University ; Brian D. Marx, Louisiana State University; David C Weindorf, Texas Tech University; Somsubhra Chakraborty, Indian Institute of Technology Kharagpur
2:20 PM
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The Generalized Ridge Estimator of the Inverse Covariance Matrix
Wessel Van Wieringen, VU Medical Center
2:20 PM
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Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics Using Stochastic Differential Equations
James Faulkner, University of Washington; Vladimir N. Minin, University of California, Irvine
2:20 PM
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A Multivariate Mixed-Effects Selection Model Framework for Batch-Processed Proteomics Data with Nonignorable Missingness
Jiebiao Wang, Carnegie Mellon University; Pei Wang, Icahn School of Medicine at Mount Sinai ; Donald Hedeker, University of Chicago; Lin Chen, University of Chicago
2:25 PM
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Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
2:45 PM
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Mapping Geographic Variations in Teen Birth Rates in Small Areas
Diba Khan, CDC; Brady Hamilton, CDC/NCHS; Yulei He, CDC/NCHS
3:05 PM
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Variational Bayes Estimation of Time Series Copulas for Multivariate Ordinal and Mixed Data
Michael Stanley Smith, University of Melbourne; Ruben Loaiza-Maya, Unviersity of Melbourne
3:05 PM
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Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM
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Linking Whole Body Sweat Measurements with Regional Body Sweat Measurements Using Multivariate Mapping Techniques
Peter John De Chavez, PepsiCo; Kelly Barnes, Gatorade Sports Science Institute, PepsiCo; Lindsay Baker, Gatorade Sports Science Institute, PepsiCo; Jason Parcon, PepsiCo
3:20 PM
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Wednesday, 08/01/2018
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A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment
Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
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Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
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Hochberg Procedure Under Multivariate Normal Distribution with Some Negative Correlations
Jiangtao Gou, Fox Chase Cancer Center, Temple University Health System
8:35 AM
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A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment
Yinghan Chen, University of Nevada, Reno; Steven Culpepper, University of Illinois at Urbana-Champaign
9:00 AM
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Multivariate Output Analysis for Markov Chain Monte Carlo
James Flegal, University of California, Riverside
9:15 AM
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A Functional Neural Network for Genetic Data Analysis Involving High-Dimensional Multivariate Outcomes
Shan Zhang, Michigan State University; Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
9:20 AM
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Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
9:50 AM
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Selection of the Optimal Personalized Treatment from Multiple Treatments with Multivariate Outcome Measures
Somnath Datta, University of Florida; Chathura Siriwardhana, University of Hawaii; Karunarathna B Kulasekera, University of Louisville
9:55 AM
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A Bayesian Spatial-Temporal Model with Latent Multivariate Log-Gamma Random Processes with Application to Earthquake Magnitudes
Guanyu Hu, University of Connecticut; Jonathan R Bradley, Florida State University
10:35 AM
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Regression Trees and Ensemble Methods for Multivariate Outcomes
Evan Reynolds, University of Michigan; Mousumi Banerjee, University of Michigan
10:35 AM
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Longitudinal Independent Component Modeling Framework for fMRI Decomposition
Yikai Wang, Emory University; Ying Guo, Emory University
10:35 AM
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On Multivariate Asymmetric Dependence Using Multivariate Skew-Normal Copula-Based Regression
Zheng Wei, University of Maine
11:15 AM
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Predictive Modeling Applied in National Reporter Cleaning
Xuemei Pan; Mary Pritts, IBM; COBY LU, IBM
11:35 AM
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Integrative Statistical Learning with Real World Healthcare Data: Towards a Data Driven Suicide Prevention Framework
Kun Chen, University of Connecticut
11:55 AM
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Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM
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T-Optimal Design for Multivariate Polynomial Regression Using Semidefinite Programming
Yuguang Yue, The University of Texas At Austin; Weng Kee Wong, UCLA; Lieven Vandenberghe, University of California, Los Angeles
2:05 PM
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Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
Knut Are Aastveit, Norges Bank; Kenichiro Mcalinn, Booth School of Business, University of Chicago; Jouchi Nakajima, Bank for International Settlements; Mike West, Duke University
2:25 PM
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Combining (Epi)Genetic and Imaging Data with Multivariate Data-Driven Models
Vince Calhoun, The Mind Research Network & The University of New Mexico
2:30 PM
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Using Joint Models of Fisher Targeting and Resource Abundance to Account for Preferential Sampling in Fisheries
James Turner Thorson, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA; Paul Conn, Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA, NMFS; Devin Johnson, Alaska Fisheries Science Center (NOAA); John Best, School of Aquatic and Fishery Sciences, University of Washington
2:55 PM
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Pre-Masking Procedure for Grouping Variables in Multivariate Data Sets
Anna Oganian, National Center for Health Statistics
3:05 PM
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Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM
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Methods for Multivariate Recurrent Event Data with Measurement Error and Informative Censoring
Yu-Jen Cheng, National Tsing Hua University; Ching-Yun Wang, Fred Hutchinson Cancer Research Center; Hsiang Yu, National Tsing Hua University
3:35 PM
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Thursday, 08/02/2018
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A Time-Varying AR, Bivariate DLM of Functional Near-Infrared Spectroscopy Data
Timothy Johnson, Univ of Michigan
8:35 AM
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Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Texas A&M University; Nilabja Guha, University of Massachusetts Lowell; Debkumar De, Texas A&M University; Anindya Bhadra, Purdue University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Bani K. Mallick, Texas A&M University
8:35 AM
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Multivariate Methods and Data Integration in Social Media for Anomaly Detection
Karl Pazdernik, Pacific Northwest National Laboratory; Kellie MacPhee, University of Washington; Bryan Stanfill, Pacific Northwest National Laboratory; Lisa Bramer, Pacific Northwest National Laboratory
8:50 AM
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Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multivariate Longitudinal Biomarkers
Cai Wu, Merck & Co.; Liang Li, UT MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health
8:50 AM
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Inverse Regression for Multivariate Functional Data
Ci-Ren Jiang, Academia Sinica; Lu-Hung Chen, National Chung-Hsing University
8:55 AM
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Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:20 AM
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Fitting the Linear Preferential Attachment Model
Sidney I. Resnick, Cornell University; Phyllis Wan, Columbia University; Richard A. Davis, Columbia University; Tiandong Wang, School of Operations Research and Information Engineering
9:35 AM
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Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data
Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:35 AM
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Wavelet Coherence for Multivariate Point Processes
Edward A K Cohen, Imperial College London; Alex J Gibberd, Imperial College London
9:35 AM
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A Simulation-Based Approach to Refining Estimates of Sampling Variability for the Planning Database's Low Response Score
Luke J Larsen, U.S. Census Bureau
10:05 AM
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Bayesian Analysis with Orthogonal Matrix Parameters
Michael Jauch, Duke University; Peter Hoff, Duke University; David B Dunson, Duke University
11:05 AM
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Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM
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Characterizing Precipitation Extremes in the US Gulf Coast Through the Use of a Multivariate Spatial Hierarchical Model
Brook Russell, Clemson University; Mark Risser, Lawrence Berkeley National Laboratory; Kenneth Kunkel, North Carolina State University; Richard Smith, Statistical Applied Mathematical Sciences Institute
11:15 AM
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Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics
Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM
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