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Keyword Search Criteria: Mixture models returned 25 record(s)
Sunday, 07/30/2017
Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
David Van Dyk, Imperial College London; Sara Algeri, Imperial College London; Jan Conrad, University of Stockholm


Empirical Likelihood in Biased Sampling Problems
Jing Qin, National Institute of Allergy and Infectious Diseases
4:05 PM

Trajectory Models Revisited
Elena Erosheva, University of Washington ; Bryan D. Martin, University of Washington; Ross L. Matsueda, University of Washington
4:50 PM

Monday, 07/31/2017
Gaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors
Brenton Blair, Lawrence Livermore National Laboratory; Ron Wurtz, Lawrence Livermore National Laboratory


Cancer Phylogenies and Nonparametric Clustering
Jeffrey Miller, Harvard School of Public Health; Scott Carter, Dana-Farber Cancer Institute
9:55 AM

A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
10:50 AM

Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM

Tuesday, 08/01/2017
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester


Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.


Bayesian Mixture Model for Ovarian Cancer Study Using Glycoproteomics and Mass Spectrometry Data
Yulan Liang, University of Maryland; Arpad Kelemen, University of Maryland


Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
10:35 AM

Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM

Mixture Models for Left- and Interval-Censored Data: Applications to a Cancer Screening Cohort Assembled from Electronic Health Records
Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Noorie Hyun, National Cancer Institute; Mark Schiffman, National Cancer Institute; Barbara Fetterman, Kaiser Permanente Northern California; Philip Castle, Albert Einstein School of Medicine; Thomas Lorey, Kaiser Permanente Northern California; Hormuzd Katki, National Cancer Institute
3:20 PM

Wednesday, 08/02/2017
A Parallel EM Algorithm for Statistical Learning via Mixture Models
Geoffrey McLachlan, The University of Queensland
8:35 AM

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

Singularity Structure of Parameter Space and Posterior Contraction in Finite Mixture Models
Long Nguyen, University of Michigan; Nhat Ho, University of Michigan
3:05 PM

A Conditional Score Test for Homogeneity in Generalized Semiparametric Exponential Family Mixture Models
Rui Duan, University of Pennsylvania; Yang Ning, Cornell University; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics; Yong Chen, University of Pennsylvania
3:05 PM

Poisson-Kernel Based Clustering on the Sphere: Convergence Properties, Initialization Rules and a Method of Sampling
Mojgan Golzy, State University of New York At Buffalo; Marianthi Markatou, University at buffalo, Department of Biostatistics; Alexander Foss, State University of New York at Buffalo
3:20 PM

Thursday, 08/03/2017
Dynamic Spatial-Temporal Point Process Models via Conditioning
Athanasios Micheas, Univ of Missouri- Columbia; Justin Okenye, University of Missouri; Christopher Wikle, University of Missouri
9:50 AM

Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
Brianna Heggeseth, Williams College
10:50 AM

A Novel Algorithm for Clustering of Data on the Unit Sphere via Mixture Models
Hien Nguyen, LA TROBE UNIVERSITY
10:55 AM

Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM

Merging K-Means Solutions for Clustering
Semhar Michael, South Dakota State University; Volodymyr Melnykov, The University of Alabama
11:15 AM

Outlier Research in the Annual Survey of Local Government Finances
Peter Schilling, US Census Bureau; Redouane Betrouni, US Census Bureau; Bac Tran, US Census Bureau
11:35 AM

Robust Estimation for the Annual Survey of Public Employment & Payroll Using Mixture of Linear Mixed-effects Models with the MCMC Procedure
Giang Trinh, Census Bureau; Bac Tran, US Census Bureau
11:50 AM

 
 
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