Keyword Search
Sessions Were Renumbered as of May 19.
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CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Mixture model returned 67 record(s)
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Sunday, 07/31/2016
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A Scalable Empirical Bayes Approach to Variable Selection
Haim Y. Bar, University of Connecticut; James Booth, Cornell University; Martin T. Wells, Cornell University
2:05 PM
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A Generalized Estimating Equations Framework for the Analysis of Intracellaur Cytokine Staining Data
Amit Meir, University of Washington; Raphael Gottardo, Fred Hutchinson Cancer Research Center; Greg Finak, Fred Hutchinson Cancer Research Center
2:35 PM
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Cluster Enrichment Method to Identify Inhibitors of Down-Regulators of Immune Signaling in a Kinetic High-Throughput Screening Assay
Minya Pu, University of California at San Diego; Karen Messer, University of California at San Diego; Howard Cottam, University of California at San Diego; Tomoko Hayashi, University of California at San Diego; Maripat Corr, University of California at San Diego; Dennis Carson, University of California at San Diego
2:35 PM
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A Scalable Framework for Minimum Distance Estimation with Applications to Mixture Modeling and Robust, Structured Regression
Jocelyn Chi, North Carolina State University; Eric Chi, North Carolina State University
3:20 PM
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Nonparametric Bayes Modeling with Sample Survey Weights
Tsuyoshi Kunihama, University of Washington; Amy Herring, The University of North Carolina at Chapel Hill; Carolyn Halpern, The University of North Carolina at Chapel Hill; David Dunson, Duke University
4:05 PM
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Survey Integration and Estimation of Joint Distributions with Conditionally Representative Data Sources
Maria DeYoreo, Duke University; Bailey Fosdick, Colorado State University
4:45 PM
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Posterior Contraction of the Population Structure in Admixture Models
Long Nguyen
5:05 PM
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A Bayesian Framework for Diagnosis of E2-Antibody Using ELISA Tests Without a Gold Standard
Jingyang Zhang, Fred Hutchinson Cancer Research Center
5:05 PM
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On GEM diffusive mixtures
Ramses Mena, Universidad Nacional Autónoma de México; Luis Gutierrez, Universidad de Chile
5:25 PM
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Recent Developments in Multivariate Count Data and Ordered Response Models
Shiferaw Gurmu, Georgia State University
5:25 PM
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Monday, 08/01/2016
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Statistical Precursors to the 'New' Predictive Analytics
Stanley Sclove, University of Illinois at Chicago
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Genome-Wide Transcription Regulation Discovery for Breast Cancer Cell Lines
Zangdong He, Indiana University Fairbanks School of Public Health; Lang Li, Indiana University School of Medicine; Changyu Shen, Indiana University School of Medicine
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Subgroup Analyses for Count Data Using Bayesian Empirical Meta-Analytical Predictive Priors
Wei-Chen Chen, FDA/CBER; Judy X. Li, FDA; John Scott, FDA
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Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey
Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
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Modeling Nonconstant Detection Rates in Removal-Sampled Point-Count Surveys
Adam Martin-Schwarze; Philip Dixon, Iowa State University; Jarad Niemi, Iowa State University
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Modeling Nonconstant Detection Rates in Removal-Sampled Point-Count Surveys
Adam Martin-Schwarze; Philip Dixon, Iowa State University; Jarad Niemi, Iowa State University
8:40 AM
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A Bayesian Formulation for Capturing Population Heterogeneity
Junxian Geng, Florida State University; Elizabeth Slate, Florida State University
9:35 AM
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Manly Transformation in Finite Mixture Modeling
Xuwen Zhu, University of Alabama; Volodymyr Melnykov, University of Alabama
10:35 AM
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Why Popular Bayesian Nonparametric Methods Fail for Sparse Clustering Tasks
Rebecca Steorts, Duke University; Jeffrey Miller, Duke University; Brenda Betancourt; Abbas Zaidi, Duke University; Hanna Wallach, University of Massachusetts - Amherst/Microsoft Research
10:35 AM
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Local Identifiability in Finite Mixture Model: A Gold Standard Solution?
Daeyoung Kim, University of Massachusetts - Amherst
10:55 AM
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Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
Laurent Bordes; Didier Chauveau, University of Orleans
10:55 AM
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Modeling Right-Censored Loss Data Using Mixture of Distributions
Tatjana Miljkovic, Miami University; Semhar Michael, South Dakota State University; Volodymyr Melnykov, University of Alabama
11:15 AM
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Nonparametric Identifiability of Finite Mixture Model and It's Application in Alzheimer's Disease
Zheyu Wang, The Johns Hopkins University; Xiao-Hua Andrew Zhou, University of Washington
11:15 AM
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Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
Didier Chauveau, University of Orleans; Vy Thuy Lynh Hoang, University of Orleans
11:35 AM
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Mixture Model for Radiographic Progression in Psoriatic Arthritis
Bin Dong, Janssen R&D; Jiandong lu, Janssen R&D
11:50 AM
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Studying the Importance of Variables for Clustering
Volodymyr Melnykov, University of Alabama; Yana Melnykov, University of Alabama; Xuwen Zhu, University of Alabama
11:55 AM
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Mixture Models with Mixed Effects in Their Component Distributions
Geoffrey John McLachlan, University of Queensland
2:30 PM
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Geometry, Likelihood, and Inference
Nancy Reid, University of Toronto
3:20 PM
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Tuesday, 08/02/2016
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Semiparametric Mixture Models for Left-Censored and Irregularly Interval-Censored Data: Application to a Cohort Assembled from Electronic Health Records
Noorie Hyun, National Cancer Institute; Li Cheung, The George Washington University; Qing Pan, The George Washington University; Mark Schiffman, National Cancer Institute; Hormuzd Katki, National Cancer Institute
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A Bayesian Spatial Clustering Method
Yin Xi, The University of Southwestern Medical Center at Dallas
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For the Microbiome, Zeroes Are Definitely of Non-Zero Importance
Pippa Simpson, Medical College of Wisconsin; Yumei Cao, Medical College of Wisconsin; Bevan Emma Huang, Janssen R&D; Jethro Johnson, Jackson Labs; Jeffrey B. Schwimmer, University of California at San Diego; mary holtz, Medical College of Wisconsin; george weinstock, The Jackson Laboratory for Genomic Medicine; Erica Weinstock, The Jackson Laboratory for Genomic Medicine; nita salzman, Medical College of Wisconsin
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What's in That Ecology? A Latent Factor Dirichlet-Multinomial Model for Metagenomic Count Data
John O'Brien, Bowdoin College
8:50 AM
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A Finite Mixture Model for Clustered Bivariate Binary Data: Application to Ophthalmologic Data Structures
John Kwagyan, Howard University College of Medicine
8:50 AM
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Determination of Phased Genotypes and Allele-Specific Expression at Isoform Level by Hybrid Sequencing
Kin Fai Au, University of Iowa; Benjamin Deonovic, University of Iowa; Jason Weirather, University of Iowa; Yunhao Wang, University of Iowa
10:55 AM
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Mixture of Forecasting Models with an Application on Solar Energy Forecasting
YoungDeok Hwang, IBM T. J. Watson Research Center; Siyuan Lu, IBM T. J. Watson Research Center; Eric Wang, Duke University
11:15 AM
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Spatial Mixture Multiscale Modeling for Aggregated Health Data
Mehreteab Aregay, Medical University of South Carolina; Andrew B. Lawson, Medical University of South Carolina
11:35 AM
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Accelerated Nonparametric Maximum Likelihood Density Deconvolution Using Bernstein Polynomial
Zhong Guan, Indiana University South Bend
12:05 PM
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Empirical Reference Distributions for Networks of Different Size
Anna Smith, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
2:05 PM
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A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer-Based Testing
Zhuoran Shang
2:35 PM
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Streaming Variational Inference for Normalized Random Measure Mixture Models
Nicholas Foti, University of Washington
3:05 PM
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Estimating Number of Founder Lineages and Infection Duration of Multivariant HIV-1 Transmissions
Tanzy Love, University of Rochester; Sung Yong Park, University of Southern California; Elena E. Giorgi, Los Alamos National Laboratory; Wendy Mack, University of Southern California; Alan S. Perelson, Los Alamos National Laboratory; Ha Youn Lee, University of Southern California
3:05 PM
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Multilevel Bayesian Latent Class Growth Mixture Model for Longitudinal Zero-Inflated Poisson Data
Kejia Wang, University of Southern California; Kiros Berhane, University of Southern California
3:20 PM
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ScDD: A Statistical Approach for Identifying Differential Distributions in Single-Cell RNA-Seq Experiments
Keegan Korthauer, Dana-Farber Cancer Institute; Michael Newton, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin
3:25 PM
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Wednesday, 08/03/2016
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A Finite Mixture Model Approach on the First-Year University Drop-Out Probability
Matilde Bini, Universita Europea di Roma; Lucio Masserini, University of Pisa
8:50 AM
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Robust Bayesian Inference via Coarsening
Jeffrey Miller, Duke University; David Dunson, Duke University
8:55 AM
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Semiparametric Regression Analysis of Recurrent Gap Times in the Presence of Competing Risks
Chia-Hui Huang, National Taipei University; Yi-Hau Chen, Academia Sinica
9:05 AM
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Bayesian Computation in Dirichlet Process Mixture Models
Erina Paul; Sanjib Basu, Northern Illinois University
9:05 AM
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Covariates Modulated False Discovery Rate in Hidden Markov Random Field Model
Richard Levine, San Diego State University; Wesley Thompson, University of California at San Diego; Carrie Bearden, University of California at Los Angeles; Dorothy Parker, University of California at San Diego; Rong Zablocki, University of California at San Diego
9:35 AM
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Dirichlet Process Mixture Model for High-Dimensional Gene Expression Data
Eric Mittman, Iowa State University; Jarad Niemi, Iowa State University
9:50 AM
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A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM
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From Presence of Pathogens to Etiology of Disease: An Innovative Latent Class Model with Two Latent Variables
Nong Shang, CDC
10:05 AM
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Dimensionality Reduction for Clustering Data on a Unit Hypersphere with Application to Text Mining
Semhar Michael, South Dakota State University; Volodymyr Melnykov, University of Alabama
10:35 AM
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Modeling Similar Nonmatches in Record Linkage with Mixture Models
Michael Larsen, The George Washington University
11:05 AM
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Non-Negative Rank and the EM Algorithm
Elina Robeva, University of California at Berkeley; Kaie Kubjas, Aalto University; Bernd Sturmfels, University of California at Berkeley
11:15 AM
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Clustering of Soil Geochemical and Mineralogical Data from the Conterminous United States Using a Bayesian Finite Mixture Model
Karl Ellefsen, U.S. Geological Survey; Laurel Woodruff, U.S. Geological Survey; David Smith, U.S. Geological Survey; William Cannon, U.S. Geological Survey; Federico Solano, U.S. Geological Survey
11:20 AM
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The Role of Regimes in Short-Term Wind Speed Forecasting at Multiple Wind Farms
Karen Kazor, Colorado School of Mines; Amanda Hering, Colorado School of Mines
11:35 AM
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Missing Data and Prediction Models
Sarah Fletcher, Vanderbilt University School of Medicine; Jeffrey David Blume, Vanderbilt University School of Medicine
12:05 PM
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A Flexible Spectral Approach to Nonparametric Estimation of Spatial Data
Sally Wood, University of Sydney; Aldo Saavedra, University of Sydney; Hugh Durrant-Whyte, University of Sydney; Ori Rosen, The University of Texas at El Paso
2:05 PM
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Testing Treatment Effect in Clinical Trials with Patient Dropout Using Latent Mixture Models
Fanhui Kong, FDA; Yeh-Fong Chen, FDA
2:20 PM
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Design of Primary and Sensitivity Analyses for Handling Nonfuture Dependence Missing Data in Clinical Trials with an Emphasis on the Type I Error Rate Using Pattern Mixture Model
Lixian Peng, Celgene; Weichung J. Shih, Rutgers University
2:35 PM
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Outliers in the Annual Survey of Public Employment and Payroll - Small Area Estimation Approach
Giang Trinh, U.S. Census Bureau; Bac Tran, U.S. Census Bureau
3:05 PM
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Thursday, 08/04/2016
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On Assessing the Difficulty of a Clustering Problem: The Introduction of Sensitivity and Specificity to Cluster Analysis
Jonathon O'Brien
8:35 AM
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Correcting for Measurement Error in Self-Reported Dietary Data from a Longitudinal Lifestyle Intervention Trial Using an External Validation Study
Juned Siddique, Northwestern University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research; Raymond Carroll, Texas A&M University; Trivellore Raghunathan, University of Michigan; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
9:00 AM
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Clustering with Non-Convex Penalized Gaussian Graphical Models for Simultaneous Parameter Estimation and Pursuit of Sparseness
Chen Gao, University of Minnesota; Wei Pan, University of Minnesota; Xiaotong Shen, University of Minnesota; Yunzhang Zhu, The Ohio State University
9:05 AM
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Model-Based Clustering with Measurement Errors
Wanli Zhang, Oregon State University; Yanming Di, Oregon State University
9:20 AM
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Singularity Structures and Parameter Estimation in Mixtures of Skew Normal Distributions
Nhat Ho; XuanLong Nguyen, University of Michigan
9:35 AM
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Reversible-Jump MCMC for Likelihood-Based Finite Mixture Models for Ordinal Data
Daniel Fernandez Martinez, New York University
11:50 AM
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