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Keyword Search Criteria: model selection returned 48 record(s)
Sunday, 07/29/2018
Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa


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

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

Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:35 PM

Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM

Monday, 07/30/2018
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


A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa


Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA


A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech


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

Model Selection, Contingency Tables and Human Mobility
Adrian Dobra, University of Washington
10:35 AM

Model Selection and Local Geometry
Robin Evans
10:35 AM

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

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

Bayesian Approach for Benefit-Risk Assessment with Examples
Ram Tiwari, Center for Devices and Radiologica Health, FDA
11:15 AM

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

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:05 PM

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

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

Tuesday, 07/31/2018
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


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


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


Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University


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

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

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

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

Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:50 AM

Pseudo-Kernel Method in Accessing Cross-Validated Risk
Qing Wang, Wellesley College
2:05 PM

Copula Information Criterion for Two-Stage Maximum Likelihood
Vinnie Ko, University of Oslo; Nils Lid Hjort, University of Oslo
2:05 PM

Bayesian Dimension and Variable Selection for Model-Based Clustering
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:05 PM

Dose Finding Model Selection in Oncology Combination Therapy
Lixia Pei, Janssen Pharmaceuticals ; Yichen Guo, Harvard University; Kevin Liu, Janssen Pharmaceuticals
2:20 PM

Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM

Wednesday, 08/01/2018
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

Fusion Learning with High-Dimensionality
Xin Gao, York University; Raymond J. Carroll, Texas A & M University
10:50 AM

Inferring Non-Bifurcating Phylogenies with the Adaptive Lasso
Vu Dinh, University Of Delaware
10:55 AM

Variable Selection via Partial Correlation
Runze Li, Penn State University; Jingyuan Liu, Xiamen University; Lejie Lou, Ernst & Young
11:05 AM

Weighted Envelope Estimation to Handle Variability in Model Selection
Daniel J. Eck
11:20 AM

Correct Model Selection in Big Data Analyzes
Katherine Thompson, University of Kentucky
11:50 AM

Bayesian Nonparametrics for Evolutionary Model Selection
Mandev Gill
11:55 AM

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

Model Selection Criteria Based on Symmetrized Variants of Asymmetric Divergence Measures
Joseph Cavanaugh, University of Iowa
2:45 PM

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

Augmenting Definitive Screening Designs for Estimating Second-Order Models
Abigael Nachtsheim, Arizona State Univ
3:05 PM

A Classification Framework for Forecast Model Selection
Thiyanga Talagala, Monash University; Rob J Hyndman, Monash University; George Athanasopoulos, Monash University
3:20 PM

Thursday, 08/02/2018
Heteroscedasticity and Model Selection via Partitioning: Application to Shrimp Data Files in the Gulf of Mexico, Years 2015 and 2016
Morteza Marzjarani
8:35 AM

Case-Control Studies with Differential Ascertainment: a Capture-Recapture Approach
Matteo Sordello, Wharton
8:50 AM

A Modified Two-Stage Approach to the Interpretation of Forensic Evidence
Cami M. Fuglsby, South Dakota State University; Christopher P. Saunders, South Dakota State University; Danica Ommen, Iowa State University; JoAnn Buscaglia, FBI Laboratory, Counterterrorism & Forensic Science Research Unit
11:20 AM