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: mixture model returned 65 record(s)
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Sunday, 07/30/2017
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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
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Mixture Inner Product Spaces and Their Application to Functional Data Analysis
Hans-Georg G Müller, University of California, Davis ; Fang Yao, University of Toronto ; Zhenhua Lin, University of Toronto
2:55 PM
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A Mixture of Mixed Logistic Regression Models for Determining Optimal Dynamic Treatment Regimes
Bing Yu; Bruce Craig, Purdue University; Michael Yu Zhu, Purdue University
3:35 PM
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Empirical Likelihood in Biased Sampling Problems
Jing Qin, National Institute of Allergy and Infectious Diseases
4:05 PM
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Trajectory Models Revisited
Elena Erosheva, University of Washington ; Bryan D. Martin, University of Washington; Ross L. Matsueda, University of Washington
4:50 PM
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Monday, 07/31/2017
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Gaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors
Brenton Blair, Lawrence Livermore National Laboratory; Ron Wurtz, Lawrence Livermore National Laboratory
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Sample Size Calculation Based on Finite Mixture Model
Zejiang Yang, INC Research
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Dynamic Prediction of Acute Graft-Versus-Host Disease (AGVHD) Using Longitudinal Biomarkers
Yumeng Li
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
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A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning; Neil Shephard, Professor and Chair, Harvard Statistics Department
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
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Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
8:45 AM
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A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning; Neil Shephard, Professor and Chair, Harvard Statistics Department
9:00 AM
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
9:15 AM
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Quantification of Sparsely Sampled Atomic-Scale Phenomena Using a Spatio-Temporal Mixture Model
Bryan A. Stanfill, Pacific Northwest National Laboratory; Maggie Johnson, Iowa State University; Sarah Reehl, Pacific Northwest National Lab; Petruta Caragea, Iowa State University; Lisa Bramer, Pacific Northwest National Lab
9:50 AM
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Cancer Phylogenies and Nonparametric Clustering
Jeffrey Miller, Harvard School of Public Health; Scott Carter, Dana-Farber Cancer Institute
9:55 AM
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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
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Risk Prediction from the Combination of Longitudinal Biomarkers Subject to Informative Missingness
Jiwei Zhao, State University of New York at Buffalo
10:55 AM
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Comparing the Mixing Fractions in a Latent Mixture Model to Investigate Change in Mutational Processes During Cancer Growth and Development
Kimberly Siegmund, Univ of Southern California-School of Medicine; Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Paul Marjoram, University of Southern California; Darryl Shibata, University of Southern California
10:55 AM
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LARGE-SCALE HYPOTHESIS TESTING with a THREE-COMPONENT BETA CONTAMINATION MODEL
Ya Qi; Richard Charnigo, University of Kentucky
11:05 AM
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A Potts Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data
Yin Song, University of Victoria; Farouk Nathoo, University of Victoria
11:50 AM
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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
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Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM
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Tuesday, 08/01/2017
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Semiparametric Regression with a Mixture Model with Both Known and Unknown Components
Weibin Zhong, Georgetown University Medical Center; Ao Yuan, Georgetown University; Kepher H Makambi, Georgetown University
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Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions
Taha Monfared, csuf office of graduate studies; Valerie Poynor, California State University, Fullerton
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A Mixture-Of-Regressions Model with Measurement Errors in the Response
Xiaoqiong Fang, University of Kentucky; Derek Young, University of Kentucky
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Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
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Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
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Bayesian Mixture Model for Ovarian Cancer Study Using Glycoproteomics and Mass Spectrometry Data
Yulan Liang, University of Maryland; Arpad Kelemen, University of Maryland
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A Mixture-Of-Regressions Model with Measurement Errors in the Response
Xiaoqiong Fang, University of Kentucky; Derek Young, University of Kentucky
9:10 AM
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Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
10:35 AM
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Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM
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Longitudinal Joint Clustering via Dirichlet Process Mixture Model
Hongmei Zhang, University of Memphis; Shengtong Han, University of Chicago; Hasan Arshad, University of Southampton
2:20 PM
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Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data
Geert Molenberghs , Universiteit Hasselt
2:25 PM
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Learning with Latent Trajectory Classes
Chen-Pin Wang, UTHSCSA; Booil Jo, Stanford University
2:25 PM
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A Bayesian Mallows Approach to Non-Transitive Pair Comparison Data: How Human Are Sounds?
Marta Crispino, Bocconi University; Natasha Barrett, Norges musikkhøgskole; Arnoldo Frigessi, OCBE, UiO; Elja Arjas, University of Helsinki, & OCBE, UiO; Valeria Vitelli, University of Oslo
2:35 PM
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Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness
Antonio R Linero, Florida State University
2:45 PM
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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
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Gaussian Mixture Modeling Under Measurement Uncertainty
Shuchismita Sarkar, University of Alabama; Volodymyr Melnykov, The University of Alabama; Rong Zheng, University of Alabama
3:35 PM
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A Dirichlet Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data
Wei Chen, University of Pittsburgh; Zhe Sun, University of Pittsburgh; Ke Deng, Tsinghua University; Ming Hu, Cleveland Clinic
3:35 PM
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Wednesday, 08/02/2017
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A Parallel EM Algorithm for Statistical Learning via Mixture Models
Geoffrey McLachlan, The University of Queensland
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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Multi-Dimensional Classification with Semiparametric Mixture Model
Anqi Yin; Ao Yuan, Georgetown University
9:20 AM
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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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Non-Parametric Bayesian Change-Points Methods for Detecting Driving Risk Changes
Qing Li, Univ. of Wisconsin-Madison; Feng Guo, Virginia Tech; Inyoung Kim, Virginia Tech
11:35 AM
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Variable Selection for a Mixture of Linear Mixed Effects Models
Yian Zhang, New York University; Lei Yang, New York University; Yongzhao Shao, New York University-School of Medicine
12:05 PM
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Validation of Early Functional Change Based Prognostic Groups in Predicting Long Term Depression Outcomes: Findings from COMED Trial
Abu Minhajuddin, University of Texas Southwestern-Medical Center At Dallas; Manish K Jha, University of Texas Southwestern Medical Center; Madhukar Trivedi, University of Texas Southwestern Medical Center
12:05 PM
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A Semi-parametric Bayesian Approach for Detection of Gene Expression Heterosis with RNA-Seq Data
Ran Bi, Iowa State University; Peng Liu, Iowa State University
2:35 PM
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Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM
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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
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Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM
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Monotone Distribution Function Estimation in Randomized Trials with Noncompliance
Anqi Cheng, University of Washington
3:05 PM
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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
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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
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Thursday, 08/03/2017
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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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Bayesian Mixture Model for Genome-Wide Association Studies
Ori Rosen, Univ of Texas at El Paso; Wesley Kurt Thompson, UCSD
9:20 AM
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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
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Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
Brianna Heggeseth, Williams College
10:50 AM
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A Novel Algorithm for Clustering of Data on the Unit Sphere via Mixture Models
Hien Nguyen, LA TROBE UNIVERSITY
10:55 AM
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Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM
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Merging K-Means Solutions for Clustering
Semhar Michael, South Dakota State University; Volodymyr Melnykov, The University of Alabama
11:15 AM
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A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM
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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
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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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Model-Based Clustering of Big Data
Paul McNicholas, McMaster University
11:55 AM
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