Keyword Search
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* = applied session ! = JSM meeting theme
Keyword Search Criteria: model selection returned 48 record(s)
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Sunday, 07/29/2018
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Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
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Parameter Subset Selection for Mixed-Effects Models
Kathleen Schmidt, Lawrence Livermore National Laboratory; Ralph C. Smith, North Carolina State University; Jason Bernstein, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory
2:05 PM
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Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies
Bo Chen, University of Toronto; Lei Sun, University of Toronto; Radu V Craiu, University of Toronto
2:05 PM
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Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:35 PM
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Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM
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Monday, 07/30/2018
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An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
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A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
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A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
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Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM
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Model Selection, Contingency Tables and Human Mobility
Adrian Dobra, University of Washington
10:35 AM
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Model Selection and Local Geometry
Robin Evans
10:35 AM
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An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
10:55 AM
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A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
11:10 AM
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Bayesian Approach for Benefit-Risk Assessment with Examples
Ram Tiwari, Center for Devices and Radiologica Health, FDA
11:15 AM
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:00 PM
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A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:05 PM
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Variable Selection for Highly Correlated Predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
2:45 PM
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Multiethnic Joint Analysis of Marginal SNP Effects
David Conti, University of Southern California; Kan Wang, University of Southern California; Chris Haiman, University of Southern California; Paul Newcombe, MRC Biostatistics Unit
3:05 PM
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Tuesday, 07/31/2018
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A 10-DNA Repair Gene Signature Predicts Benefits from Adjuvant Chemotherapy (ACT) in Patients with Non-Small Cell Lung Cancer (NSCLC)
Xiaokui Mo, Ohio State University-College of Medicine; Jianying Zhang, Ohio State University; Meng Xu Welliver, Ohio State University; Soledad Fernandez, The Ohio State University
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
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Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank
Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine
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Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
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Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data
Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
10:35 AM
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Inference on Average Treatment Effect with Repeated Data Splitting in High Dimensions
Jingshen Wang, University of Michigan; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
10:35 AM
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
11:05 AM
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Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank
Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine
11:15 AM
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Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:50 AM
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Pseudo-Kernel Method in Accessing Cross-Validated Risk
Qing Wang, Wellesley College
2:05 PM
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Copula Information Criterion for Two-Stage Maximum Likelihood
Vinnie Ko, University of Oslo; Nils Lid Hjort, University of Oslo
2:05 PM
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Bayesian Dimension and Variable Selection for Model-Based Clustering
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:05 PM
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Dose Finding Model Selection in Oncology Combination Therapy
Lixia Pei, Janssen Pharmaceuticals ; Yichen Guo, Harvard University; Kevin Liu, Janssen Pharmaceuticals
2:20 PM
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Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM
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Wednesday, 08/01/2018
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Fast and Approximate Exhaustive Variable Selection for GLMs with APES
Kevin Wang, The University of Sydney; Samuel Mueller, The University of Sydney; Garth Tarr, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
10:50 AM
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Fusion Learning with High-Dimensionality
Xin Gao, York University; Raymond J. Carroll, Texas A & M University
10:50 AM
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Inferring Non-Bifurcating Phylogenies with the Adaptive Lasso
Vu Dinh, University Of Delaware
10:55 AM
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Variable Selection via Partial Correlation
Runze Li, Penn State University; Jingyuan Liu, Xiamen University; Lejie Lou, Ernst & Young
11:05 AM
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Weighted Envelope Estimation to Handle Variability in Model Selection
Daniel J. Eck
11:20 AM
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Correct Model Selection in Big Data Analyzes
Katherine Thompson, University of Kentucky
11:50 AM
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Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM
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Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM
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Model Selection Criteria Based on Symmetrized Variants of Asymmetric Divergence Measures
Joseph Cavanaugh, University of Iowa
2:45 PM
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Optimal Bayesian Design for Models with Intractable Likelihoods via Machine Learning Methods
Christopher C Drovandi, Queensland University of Technology; Markus Hainy, QUT
3:05 PM
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Augmenting Definitive Screening Designs for Estimating Second-Order Models
Abigael Nachtsheim, Arizona State Univ
3:05 PM
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A Classification Framework for Forecast Model Selection
Thiyanga Talagala, Monash University; Rob J Hyndman, Monash University; George Athanasopoulos, Monash University
3:20 PM
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