Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
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: EM algorithm returned 42 record(s)
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Monday, 08/01/2016
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Statistical Inference on Dynamic System Models with Multiple Observation Units
Hongyuan Wang; David Allen, University of Kentucky
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Use Nonlinear Mixed Effects Model to Predict Unobservable AD Symptom Duration
Ho-Lan Peng; Wenyaw Chan, The University of Texas Health Science Center at Houston; Rachelle S. Doody, Baylor College of Medicine
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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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The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data
Michael Regier, West Virginia University; Erica E. M. Moodie, McGill University
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Inference with Cluster Data Under Informative Sampling
Jae-kwang Kim, Iowa State University; Seunghwan Park, Seoul National University
8:35 AM
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Discretized Longitudinal Data with Two Sources of Measurement Error
Amy Nussbaum, Southern Methodist University; Cornelis Potgieter, Southern Methodist University; Michael Chmielewski, Southern Methodist University
10:35 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 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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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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The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data
Michael Regier, West Virginia University; Erica E. M. Moodie, McGill University
12:15 PM
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Spatial Data Fusion for Large Non-Gaussian Remote Sensing Data Sets
Hongxiang Shi, University of Cincinnati; Emily Lei Kang, University of Cincinnati
2:20 PM
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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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Analysis of High-Throughput Drug Screening Data of Cancer Cell Lines
Hongmei Liu; J. Sunil Rao, University of Miami
2:50 PM
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Wednesday, 08/03/2016
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Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa
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Multiple Imputation for Non-Detects in QPCR
Valeriia Sherina, University of Rochester; Matthew Nicholson McCall, University of Rochester
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ASAFE: Ancestry-Specific Allele Frequency Estimation
Qian Zhang, University of Washington; Brian Browning, University of Washington; Sharon Browning, University of Washington
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New Progresses in Statistical Analysis of Network Tomography
Ke Deng, Tsinghua University; Yang Li, Harvard; Weiping Zhu, University of New South Wales; Jun S. Liu, Harvard
8:35 AM
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ASAFE: Ancestry-Specific Allele Frequency Estimation
Qian Zhang, University of Washington; Brian Browning, University of Washington; Sharon Browning, University of Washington
8:45 AM
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Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa
9:15 AM
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Multiple Imputation for Non-Detects in QPCR
Valeriia Sherina, University of Rochester; Matthew Nicholson McCall, University of Rochester
9:15 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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Analyzing Semi-Competing Risks Data with Missing Cause of Informative Terminal Event
Hong Zhu, The University of Texas Southwestern Medical Center; Renke Zhou, Baylor College of Medicine; Melissa Bondy, Baylor College of Medicine; Jing Ning, MD Anderson Cancer Center
10:55 AM
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Using Auxiliary Information to Enhance Prediction Models with Many Covariates
Jeremy M. G. Taylor, University of Michigan; Philip Simon Boonstra, University of Michigan; Bhramar Mukherjee, University of Michigan
11:00 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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Efficient Semiparametric Inference Under Two-Phase Sampling, with Applications to Genetic Association Studies
Ran Tao, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill
11:55 AM
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Scalable Bayesian Variable Selection for Structured Data
Suprateek Kundu, Emory University; Changgee Chang, Emory University; Qi Long, Emory University
12:05 PM
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A Multivariate Selection Model for Cluster-Level Outcome-Dependent Missing Data
Jiebiao Wang, The University of Chicago; Pei Wang, Icahn School of Medicine at Mount Sinai; Lin Chen, The University of Chicago
2:50 PM
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Bias Reduction in Logistic Regression with Missing Responses When the Missing-Data Mechanism Is Nonignorable
Vivek Pradhan, Pfizer; Arnab Maity, Northern Illinois University
3:05 PM
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Thursday, 08/04/2016
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The EM Algorithm for One-Shot Device Testing with Competing Risk Under Different Lifetimes Distributions
Hon Yiu So, McMaster University; Narayanaswamy Balakrishnan, McMaster University; Man Ho Ling, Hong Kong Institute of Education
8:35 AM
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Estimation of Heterogeneity for Multinomial Probit Models
Yixi Xu; Qiang Liu, Purdue University; Xiao Wang, Purdue University
8:35 AM
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A Hidden Markov Model Approach to Analyzing Longitudinal Alzheimer's Disease Stages Subject to Possible Misclassification
Julia Benoit, University of Houston; Wenyaw Chan, The University of Texas Health Science Center at Houston; Linda Piller, The University of Texas Health Science Center at Houston; Rachelle S. Doody, Baylor College of Medicine
9:05 AM
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Inference of an Additive Transient Binding Model
Jason Bernstein
10:35 AM
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Analysis of Bivariate Zero-Inflated Count Data with Missing Responses
Miao Yang, Oregon State University; Kalyan Das, Calcutta University; Anandamayee Majumdar, Soochow University
10:50 AM
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Maximum Likelihood Estimation for Semiparametric Models with Interval-Censored Data
Danyu Lin, The University of North Carolina at Chapel Hill
11:00 AM
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Sparse Clustering of High-Dimensional Gaussian Mixtures
Jing Ma, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, University of Pennsylvania
11:35 AM
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