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Sunday, 08/01/2010
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Large-Scale Simulation Evaluation for Model Selection: Lasso and Bayesian Derivatives
Alan Burton Lenarcic, Harvard University; Edoardo M. Airoldi, Harvard University; Palak Patel, Harvard University
2:20 PM
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Hellinger Deviance Testing for Mixture Complexity
An-Lin Cheng, University of Missouri-Kansas City; Anand Vidyashankar, George Mason University
2:25 PM
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Modeling Dependence in Reverse Phase Protein Arrays
Donatello Telesca, University of California, Los Angeles; Peter Muller, MD Anderson Cancer Center; Yuan Ji, MD Anderson Cancer Center
2:25 PM
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Embracing GPU Technology in Bayesian Computation: Massively Parallel Computing on Your Desktop
Marc Suchard, University of California, Los Angeles
2:35 PM
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Smoke Plume Estimation from Satellite Images
Charmaine Dean, Simon Fraser University; Victoria Wan, Simon Fraser University; John Braun, The University of Western Ontario; Sarah Henderson, The University of British Columbia
3:05 PM
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A Single Test Derived from Modeling Biological Heterogeneity of Multiple Serum Biomarkers via Mixture Models Using Bayesian Inference
Eric A. Macklin, MGH Biostatistics Center; Ying Zhou, MGH Biostatistics Center; Trenton C. Pulsipher, MGH Biostatistics Center; Steven James Skates, Massachusetts General Hospital
3:05 PM
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Robust Small Area Estimation Using a Mixture Model
Julie Gershunskaya, Bureau of Labor Statistics; Parthasarathi Lahiri , University of Maryland
4:35 PM
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Monday, 08/02/2010
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Doubly Truncated Negative Binomial Regression for Evaluating the Age Distribution of Pertussis Infant Deaths
Andrew Lewis Baughman, CDC; Tracy Pondo, CDC; Margaret Cortese, CDC; Barry Sirotkin, CDC; Charles E. Rose, Jr., CDC; Tejpratap Tiwari, CDC
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Identifying Treatment Responsive Trajectory Classes in a Depression Trial: An Alternative Statistical Approach
Maggie Kuchibhatla, Duke University Medical Center; Gerda Fillenbaum, DUMC
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Semiparametric Mixtures of Regressions
David Hunter, Penn State
8:35 AM
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Generalized Score Test for Zero Mixture in Count Data
Wei-Wen Hsu, Michigan State University; David Todem, Michigan State University
8:35 AM
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Two-Way Gaussian Mixture Models for High-Dimensional Classification
Mu Qiao, Penn State; Jia Li, Penn State
8:55 AM
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An Evaluation of the N-Mixture Model for Pseudo-Replicated Count Data in Animal Abundance Estimation
Sherwin G. Toribio, University of Wisconsin-La Crosse; Brian R. Gray, U.S. Geological Survey
9:05 AM
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Testing for Possible Climate Change--Caused Shifts in Forest Fire Ignitions
Charmaine Dean, Simon Fraser University; Douglas Woolford, Wilfrid Laurier University; Jiguo Cao, Simon Fraser University; David Martell, University of Toronto
9:25 AM
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Predictive Recursion: Convergence Theory, Extensions, and Applications
Ryan Martin, Indiana University Purdue University Indianapolis; Surya Tokdar, Duke University
9:35 AM
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Nonparametric Method of Mixture Model with Prevalent Sampling
Yu-Jen Cheng, National Tsing-Hua University; Mei-Cheng Wang, The Johns Hopkins University
10:50 AM
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A Stochastic Partitioning Method to Associate High-Dimensional Data Sets
Mahlet G. Tadesse, Georgetown University; Stefano Monni, Weill Cornell Medical College
11:35 AM
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A Statistical Framework for the Analysis of ChIP-Seq Data
Pei Fen Kuan, The University of North Carolina at Chapel Hill
11:35 AM
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Bayesian Models for Genetic Pathways
Yuan Ji, MD Anderson Cancer Center
2:45 PM
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Graphically Dependent and Spatially Varying Dirichlet Process Mixtures
Long Nguyen, University of Michigan
3:05 PM
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Tuesday, 08/03/2010
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Statistical Models for Adenoma Data from Colorectal Polyp Prevention Trials
Chiu-Hsieh Hsu, The University of Arizona; Sadhvi Khanna, The University of Arizona
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A Probability for Classification Based on the Mixture of Dirichlet Process Model
Ruth Fuentes-Garcia, Universidad Nacional Autónoma de México; Ramses Mena, IIMAS-UNAM; Stephen Graham Walker, University of Kent
8:50 AM
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Model-Based Semisupervised Clustering
Volodymyr Melnykov, North Dakota State University; Wei-Chen Chen, Iowa State University; Ranjan Maitra, Iowa State University
9:15 AM
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MCMC Algorithms for Bayesian Models Involving Binary Data
Santanu Pramanik, NORC; Edward Mulrow, NORC
9:35 AM
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A Nested Mixture Model for Protein Identification Using Mass Spectrometry
Qunhua Li, University of California, Berkeley; Michael MacCoss, University of Washington; Matthew Stephens, The University of Chicago
9:35 AM
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Mixture Tree Construction and Its Applications
Shu-Chuan Chen, Arizona State University
9:35 AM
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Mixture Model Component Trees: A Visualization Tool for Merging Clusters
Rebecca Nugent, Carnegie Mellon University; Nema Dean, University of Glasgow
9:35 AM
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Time-Varying Parameters in Mixture Models
Yorghos Tripodis, Boston University; Kleoniki Vlachou, University of Maryland; David J. Lovell, University of Maryland
9:50 AM
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Regularized Gaussian Mixture Modeling with Adaptive Covariance Shrinkage
Hyang Min Lee, Penn State; Jia Li, Penn State
9:55 AM
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Latent Class Profile Analysis with Dynamic Dirichlet Learning Process on Model Selection Problems
Hsiu-Ching Chang, Michigan State University; Hwan Chung, Michigan State University
11:05 AM
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An Initialization Strategy for the EM Algorithm in Gaussian Mixtures
Igor Melnykov, Colorado State University; Volodymyr Melnykov, North Dakota State University
11:05 AM
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Group-Based Trajectory Modeling Extended to Account for Nonrandom Subject Attrition
Amelia Haviland, RAND Corporation; Daniel Nagin, Carnegie Mellon University; Bobby Jones, Carnegie Mellon University
11:05 AM
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A Finite Mixture Model for Working Correlation Matrices in Generalized Estimating Equations
Nan Lin, Washington University in St. Louis; Lili Xu, Northeast Normal University, China; Baoxue Zhang, Northeast Normal University, China
11:20 AM
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Nonparametric Mixture Regression for Survival Data
Matthew Taddy, Chicago Booth
2:45 PM
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Minimum Hellinger Distance Estimation for a Semiparametric Mixture Model with Two-Sample Censored Data
Yayuan Zhu, University of Calgary; Xuewen Lu, University of Calgary; Jingjing Wu, University of Calgary
2:50 PM
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Wednesday, 08/04/2010
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Estimators Based on Data-Driven Generalized Weighted Cramer-von Mises Distances Under Censoring, with Applications to Mixture Models
Eric Beutner, Maastricht University
8:35 AM
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Mixture of Regression Models with Varying Mixing Proportions: A Semiparametric Approach
Mian Huang, Shanghai University of Finance and Economics; Yao Weixin, Kansas State University
8:35 AM
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Mixtures of Regression with Unknown Symmetric Error Density
Weixin Yao, Kansas State University; Shaoli Wang, Shanghai University of Finance and Economics; Chunrong Ai, University of Florida
8:55 AM
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EM-Test for Finite Mixture Models
Jiahua Chen, The University of British Columbia; Pengfei Li, University of Alberta
9:55 AM
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New Bayesian Nonparametric Mixture Models
Stephen Graham Walker, University of Kent; Ramses Mena, IIMAS-UNAM
10:35 AM
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Robust Dynamic Variable Selection for SNP Genotype Classification
Mohua Podder, The University of British Columbia; William J. Welch, The University of British Columbia; Ruben H. Zamar, The University of British Columbia; Scott J. Tebbutt, Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research
10:50 AM
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Testing the Order of Finite Mixture
Pengfei Li, University of Alberta; Jiahua Chen, The University of British Columbia
10:55 AM
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Quantitating Significance in Finite Mixture Models and Model-Based Clustering
Ranjan Maitra, Iowa State University; Volodymyr Melnykov, North Dakota State University
11:35 AM
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Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging
J. McLean Sloughter, Seattle University; Adrian E. Raftery, University of Washington; Tilmann Gneiting, Universitat Heidelberg
11:35 AM
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Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
Volodymyr Melnykov, North Dakota State University; Ranjan Maitra, Iowa State University
11:55 AM
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Calling Hits in a High-Throughput Screening Assay
Minya Pu, University of California, San Diego; Karen Messer, University of California, San Diego
12:05 PM
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Finite Mixtures of Individual-Level Models for Infectious Diseases
Rob Deardon, University of Guelph; Lorna Deeth, University of Guelph
2:05 PM
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Model Selection for Gaussian Mixture Models and Mixture of Factor Models
Tao Huang, University of Virginia
2:05 PM
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Exponential Failure-Time Mixture Model for Evaluating Efficacy in the Presence of a Biomarker: KRAS Validation
Kallappa M. Koti, FDA
2:35 PM
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Critiquing Bioinformatics Resources When ID Mapping Is Needed to Integrate Genomic and Proteomic Studies
Roger Day, University of Pittsburgh; Kevin McDade, University of Pittsburgh; Uma Chandran, University of Pittsburgh; Alex Lisovich, University of Pittsburgh
3:20 PM
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Thursday, 08/05/2010
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Customer satisfaction survey on Passito wine with the application of a new approach to modelling discrete choices
Francesca Solmi, University of Padova; Stefano Bonnini, University of Ferrara; Luigi Salmaso, University of Padova
8:35 AM
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Coherent Analysis of Longitudinal Changes in Biomarkers in the Presence of Attrition Due to Competing Risks
Tom Greene, The University of Utah
8:35 AM
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Mixture Cure Model with Random Effects for Interval-Censored Survival Data
Liming Xiang, Nanyang Technological University; Xiangmei Ma, Nanyang Technological University
8:50 AM
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Inferring Alternative Splicing Gene Expression from Nextgen Sequencing Studies
David Rossell, IRB Barcelona
8:50 AM
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Modeling Trajectories of Delirium Using Mixture Models
Long Huu Ngo, Beth Israel Deaconess Medical Center/Harvard Medical School; Edward R. Marcantonio, Beth Israel Deaconess Medical Center/Harvard Medical School
9:20 AM
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Distance-Based Probability Distributions on Set Partitions for Bayesian Nonparametric Models
David Dahl, Texas A&M University; Ryan Day, University of the Pacific; Jerry Tsai, University of the Pacific
9:25 AM
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Application of the Pattern Mixture Model to Mini Mental Status Exam (MMSE) Scores in a Radiation Therapy Oncology Group (RTOG) Trial for Brain Tumors
Kyounghwa Bae, Radiation Therapy Oncology Group; Seunghee Baek, University of Pennsylvania; James Dignam, Radiation Therapy Oncology Group
9:50 AM
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Mixture Modeling Strategies for Dynamic PET Data
Todd Ogden, Columbia University; Huiping Jiang, New York State Psychiatric Institute
10:35 AM
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Analysis of Otolith Microchemistry Using Bayesian Hierarchical Mixture Models
Bethann Mangel Pflugeisen, The Ohio State University; Catherine Calder, The Ohio State University; Elizabeth Marschall, The Ohio State University
10:35 AM
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Modeling Placebo Response via Infinite Mixtures
Thaddeus Tarpey, Wright State University
11:00 AM
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Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
Eva Petkova, New York University
11:25 AM
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Causal Inference with Latent Growth Mixture Modeling
Booil Jo, Stanford University
11:35 AM
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Impact of Missing Data on Type 1 Error Rates in Noninferiority Trials
Bongin Yoo, Bristol-Myers Squibb
11:35 AM
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Reliability Analysis Based on Warranty Data with Sale and Report Lag
Shuen-Lin Jeng, National Cheng Kung University
11:50 AM
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Assessing Clusterability in a Model-Based Framework
Ewa Nowakowska, GfK Polonia
11:50 AM
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