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Keyword Search Criteria: Hierarchical Models returned 20 record(s)
Monday, 07/31/2017
Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois


Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM

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

An Objective Prior for Hyperparameters in Normal Hierarchical Models
Dongchu Sun, University of Missouri
11:25 AM

Spatio-Temporal Models with Excess Zeros
Mahmoud Torabi, University of Manitoba
2:45 PM

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

Tuesday, 08/01/2017
Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan


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

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

Wednesday, 08/02/2017
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


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


A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University


Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST


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

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

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

Thursday, 08/03/2017
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

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

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

Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM

 
 
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