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: hierarchical returned 93 record(s)
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Sunday, 07/30/2017
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Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations
Gwendolyn Eadie, McMaster University; Benjamin Keller, McMaster University; William Harris, McMaster University; Aaron Springford, Queen's University
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Nonparametric Bayesian Survival Models in a Demand Forecasting Application
Ta-Hsin Li, IBM Watson Research Center
2:05 PM
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A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organization
Julie Novak, IBM; Beatriz Etchegaray, IBM Research
2:20 PM
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Functional Autoregression for Sparsely Sampled Data
Daniel Kowal, Cornell University; David S Matteson, Cornell University; David Ruppert, Cornell University
2:50 PM
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A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 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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Bayesian Emulators for Composition Distribution of Kepler's Sub-Neptune Planets
Anirban Mondal, Case Western Reserve University; Angie Wolfgang, The Pennsylvania State University
5:35 PM
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Monday, 07/31/2017
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An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University
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Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich
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Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
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Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
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Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
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On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
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Identification of Potentially Problematic Prescribing to a Vulnerable Population
Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University
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Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:40 AM
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Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM
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Abstract for Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models
Alexander Kaizer; Joseph Koopmeiners, University of Minnesota; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM
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Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
8:55 AM
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On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
9:45 AM
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Identification of Potentially Problematic Prescribing to a Vulnerable Population
Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University
9:45 AM
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Meta-Analysis of Incidence of Rare Events Using Individual Patient-Level Data
Chen Chen, The George Washington University; Yan Ma, The George Washington University; Yong Ma, FDA/CDER/OTS/OB/DB VII
10:35 AM
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A Moment-Based Estimation Procedure for Deeply-Nested Hierarchical Models
Ningshan Zhang, New York University; Patrick Perry, New York University; Kyle Schmaus, Stitch Fix
11:20 AM
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An Objective Prior for Hyperparameters in Normal Hierarchical Models
Dongchu Sun, University of Missouri
11:25 AM
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Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model
Alfred Mbah
12:05 PM
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Bayesian Analysis of Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data
Soutik Ghosal, University of Louisville; Maiying Kong, University of Louisville; Jeremy Gaskins, University of Louisville
2:05 PM
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Personalizing Early Detection for Ovarian Cancer with Hierarchical Longitudinal Models of a Blood Biomarker: Experience in Multiple Prospective Screening Trials
Steven Skates, MGH/Biostatistics Center
2:25 PM
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Spatio-Temporal Models with Excess Zeros
Mahmoud Torabi, University of Manitoba
2:45 PM
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ASID: A Bayesian Adaptive Subgroup-Identification Enrichment Design
Florica Constantine, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Yili L Pritchett, MedImmune; Zhilin Jin, Johns Hopkins University
2:50 PM
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Adaptive Multigroup Confidence Intervals with Constant Coverage
Chaoyu Yu, University of Washington; Peter Hoff, Duke University
3:05 PM
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Block Conditioning Approximations Based on Hierarchical Decompositions for High-Dimensional Multivariate Normal Probabilities
Jian Cao; Marc G. Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
3:20 PM
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Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors
Matthew J. Keefe, Virginia Tech; Marco Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
3:20 PM
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Tuesday, 08/01/2017
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A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling
Zhou Fang, Department of Biostatistics, University of Pittsburgh; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Li Zhu, University of Pittsburgh; George Tseng, University of Pittsburgh; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh
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Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center
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Bayesian Hierarchical Reporting Delay Model in Infectious Disease Forecasting
Krzysztof Sakrejda, University of Massachusetts - Amherst; Nicholas G. Reich, University of Massachusetts Amherst; Stephen Lauer, University of Massachusetts - Amherst
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Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
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Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
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Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
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Geographic Patterns of Diabetes Prevalence in the United States, NHIS (2006 - 2012)
Diba Khan, CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics; HeeChoon Shin, CDC
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Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
8:50 AM
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A Mixture of Gaussian and Student's T Errors for a Robust and Accurate Parameter Estimation
Hyungsuk Tak, SAMSI; Justin A. Ellis, Jet Propulsion Laboratory; Sujit K Ghosh, North Carolina State University
8:50 AM
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GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM
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Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
9:10 AM
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Nonparametric Bootstrapping for Binary Hierarchical Data
Bei Wang
9:15 AM
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Sparse Penalization for Non-Hierarchical Interactions
Claus Ekstrom, Biostatistics, University of Copenhagen
9:20 AM
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Predicting Travel Time Reliability Using Mobile Phone GPS Data
Dawn Woodard, Uber Technologies, Inc.
9:35 AM
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Adaptive Designs in Phase II Basket Clinical Trials
Kristen Cunanan; Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
9:35 AM
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Impact of Instructors and Majors on Student Performance Bayesian Multiple Membership Logistic Regression Model
Maria Elsa Vazquez, Arizona State University
9:35 AM
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Informing Oregon Forestry Rule Change Decisions with a Bayesian Hierarchical Model
Jeremiah Groom, Department of Statistics; Lisa Madsen, Department of Statistics
9:50 AM
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The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM
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A Geostatistical Approach to Modeling Climate Teleconnections
Joshua Hewitt, Colorado State University; Jennifer A Hoeting, Colorado State University; James Done, National Center for Atmospheric Research; Erin Towler, National Center for Atmospheric Research
10:35 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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Is Tennis' Time Violation Policy Unfair? Understanding the Time-To-Serve of Professional Tennis Players Using a Hierarchical Bayesian Model
Stephanie Kovalchik, Tennis Australia; James Albert, Bowling Green State University
11:15 AM
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Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
11:20 AM
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Reconstruction of Spatio-Temporal Temperature from Sparse Historical Records Using Robust Probabilistic Principal Component Regression
John Tipton, Colorado State University; Mevin Hooten, Colorado State University; Simon Goring, Department of Geography, University of Wisconsin
2:05 PM
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Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 PM
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Explaining Preference Heterogeneity with Mixed Membership Modeling
Marc Dotson, Brigham Young University
2:05 PM
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Statistical Models for Estimating HIV/AIDS Epidemics with Multiple Types of Prevalence Data
Le Bao, Penn State University
2:30 PM
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Small Area Estimation in Government Surveys (U.S. Census Bureau)
Bac Tran, US Census Bureau
3:35 PM
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Wednesday, 08/02/2017
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Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models
James Gilman, NC State University; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses
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Comparing Quality of Care Across Hospitals: Template Matching Versus Conventional Approaches
Brenda Vincent, VA Center for Clinical Management Research; Hallie Prescott, VA Center for Clinical Management Research
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A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships
Wenyi Wu, University of Michigan; Peter Lenk, University of Michigan
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A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University
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Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST
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MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION
Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs
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Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh
8:35 AM
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Multivariate Spatio-Temporal Survey Fusion with Application to the American Community Survey and Local Area Unemployment Statistics
Scott H. Holan, University of Missouri; Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri
8:35 AM
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Increasing Efficiency of Oncology Basket Trials Using a Bayesian Approach
Zheyu Liu, The University of Texas Health Science Center at Houston; Rong Liu, Bayer Healthcare; Mercedeh Ghadessi, Bayer Healthcare; Richardus.vonk Vonk, Bayer Healthcare
9:05 AM
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Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM
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Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM
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Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM
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MINIMIZING ERROR in MEGA-POLLS: LESSONS from the 2016 ELECTION
Joseph Zappa, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Kaitlyn McAuliffe, Ipsos Public Affairs
10:10 AM
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Lagged Kernel Machine Regression for Identifying Time Windows of Susceptibility to Exposures of Complex Metal Mixtures
Shelley Liu, Icahn School of Medicine at Mount Sinai; Jennifer Bobb, Group Health Research Institute; Kyu Ha Lee, The Forsyth Institute; Chris Gennings, Icahn School of Medicine at Mount Sinai; Birgit Claus Henn, Boston University School of Public Health; David Bellinger, Harvard T.H. Chan School of Public Health; Christine Austin, Icahn School of Medicine at Mount Sinai; Lourdes Schnaas, National Institute of Perinatology, Mexico; Martha Tellez-Rojo, National Institute of Public Health, Mexico; Howard Hu, University of Toronto Dalla Lana School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai; Manish Arora, Icahn School of Medicine at Mount Sinai; Brent Coull, Harvard T.H. Chan School of Public Health
10:35 AM
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Evaluating Safety Performance Measures for Motor Carriers Using Hierarchical Models
Xingwei Wu, University of Washington; Huizhong Guo; Linda Ng Boyle, University of Washington
11:05 AM
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Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
Yuhang Xu, University of Nebraska-Lincoln; Yehua Li, Iowa State University; Dan Nettleton, Iowa State University
2:50 PM
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Robust Hierarchical Bayes Small Area Estimation
Gauri Datta, University of Georgia and US Census Bureau; Adrijo Chakraborty, NORC at the University of Chicago; Abhyuday Mandal, University of Georgia
3:05 PM
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Building Block Small Area Model for Compatibility at Different Levels of Estimation
Adrijo Chakraborty, NORC at the University of Chicago; Avinash Singh, American Institutes for Research
3:25 PM
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Thursday, 08/03/2017
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Mortality Rate Estimation and Standardization for Public Reporting: Medicare's Hospital Compare
Edward I. George, Wharton, University of Pennsylvania; Veronika Rockova, University of Chicago; Paul Rosenbaum, University of Pennsylvania; Ville Satopaa, INSEAD; Jeffrey Silber, University of Pennsylvania
8:35 AM
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Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM
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A Hierarchical Bayesian Non-Parametric Approach to Modeling Microbial Community Structure
John D O'Brien, Bowdoin College; Chris Quince, University of Warwick
8:35 AM
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Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis
Haiyan Huang, Univ of California at Berkeley
8:55 AM
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Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM
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Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
Jenna Krall, George Mason University; Stefanie Ebelt Sarnat, Emory University
9:05 AM
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Hierarchical Bayesian Models for Noisy Size Responses from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
9:15 AM
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Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM
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A Nonparametric Mixture of Semiparametric Bayesian Hierarchical Survival Models for Pathway Based Analysis
Lin Zhang, Virginia Tech; Inyoung Kim, Virginia Tech
9:35 AM
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Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM
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Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data
Sunduz Keles, University of Wisconsin-Madison; Ye Zheng, University of Wisconsin
9:55 AM
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A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease
Daisy Philtron, The Pennsylvania State University; Benjamin A Shaby, Penn State University
10:05 AM
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Learning Curve Estimation in Medical Devices and Procedures: Hierarchical Modeling
Usha Govindarajulu, SUNY Downstate; Michael Matheny, Vanderbilt University; David Goldfarb, Montefiore Medical Center; Marco Stillo, SUNY Downstate Medical Center; Frederic Resnic, Lahey Clinic
10:05 AM
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Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
Zachary Micah Thomas, Eli Lilly and Company; Mario Peruggia, The Ohio State University; Steven MacEachern, The Ohio State University
10:35 AM
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A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM
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Models for Dependent Data in Single Cell Gene Expression
Andrew McDavid, University of Rochester Medical Center - Rochester, NY
10:50 AM
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A Hierarchical Bayesian Approach to Estimation for the Annual Survey of Local Government Finances
Noah Bassel, US Census Bureau; Bac Tran, US Census Bureau
11:20 AM
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