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Keyword Search Criteria: Model selection returned 42 record(s)
Sunday, 07/30/2017
Network Cross-Validation by Edge Sampling
Tianxi Li; Liza Levina, University of Michigan; Ji Zhu, University of Michigan
2:20 PM

Re-Conceptualizing the P-Value: a Probabilistic Comparison of Models Using Discrepancy Measures
Benjamin Nathaniel Riedle, University of Iowa; Joseph Cavanaugh, University of Iowa; Andrew Neath, SIU Edwardsville
2:50 PM

Beyond P-Values: Hypothesis Testing Based on the BIC Model Selection Criterion
Stanley Sclove, Univ of Illinois At Chicago; Robert F Bordley, Booz Allen Hamilton
3:20 PM

Estimating Wind Speed Distributions Using Skewed and Flexible Skewed Distributions: a Monte Carlo Comparison
Mohammad Aziz, University of Wisconsin-Eau Claire
4:35 PM

Monday, 07/31/2017
Optimal Variable Selection in Regression Models
Jie Ding, Harvard; Vahid Tarokh, Harvard; Yuhong Yang, University of Minnesota


Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University


Comparison of Model selction and Averaging for Collaborative Studies
Andrew Rukhin
8:35 AM

Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University
8:55 AM

Time Series Model Fitting and Regularization Methods
Soumendra N Lahiri, North Carolina State University
9:50 AM

Selected Model Averaging in High-Dimensional Linear Regression
Craig Rolling, Saint Louis University; Yongli Zhang, University of Oregon
10:05 AM

Splice Plots for Assessing the Fit of Proportional Hazards Models
David Nelson, Dept Veterans Affairs, Univ Minnesota; Siamak Noorbaloochi, VA Health Care System
10:35 AM

Tuesday, 08/01/2017
Multivariate Generalized Linear Mixed Model with Common Random Effects
Ding Xiang, University of Minnesota; Galin Jones, University of Minnesota


Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida


SERIAL TESTING for DETECTION of MULTILOCUS GENETIC INTERACTIONS
Zaid Al-Khaledi, University of Kentucky; Richard Charnigo, University of Kentucky
9:05 AM

A focused mean squared error approach for selecting tuning parameters in penalized regression
Kristoffer Hellton, University of Oslo; Nils Lid Hjort, University of Oslo
9:05 AM

A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods
Ming-Hui Chen, University of Connecticut; Yu-Bo Wang, National Institutes of Health; Lynn Kuo, University of Connecticut; Paul O. Lewis, University of Connecticut
10:35 AM

Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
11:30 AM

Bayesian Model Assessment and Selection Using Bregman Divergence
Dipak K Dey, university of connecticut; Gyuhyeong Goh, Kansas State University
11:35 AM

Interaction and Model Selection for Function-On-Function Regression
Ruiyan Luo, Georgia State University; Xin Qi, Georgia State University
2:05 PM

Model-Selection Consistency of Forward Selection in High-Dimensional Regression
Jerzy Wieczorek, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
2:20 PM

Bayesian D-Optimal Screening Experiments with Partial Replication
David Edwards, Virginia Commonwealth University; Robert Leonard, Miami University
2:35 PM

Number of Samples Needed for Model Selection with Confidence
Sean Carver, American University
2:35 PM

Dimension Reduction in the Study of Etiologic Heterogeneity
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center
3:35 PM

Wednesday, 08/02/2017
Grapheme, Phoneme, Morpheme: Features for Text Classification
Taylor Arnold, University of Richmond


Estimation and Model Selection by Data-Driven Weighted Likelihoods
Sam-Erik Walker, Dept. of Math., Univ. of Oslo; Nils Lid Hjort, University of Oslo


Group Fused Multinomial Regression
Brad Price, West Virginia University; Adam Rothman, University of Minnesota; Charles Geyer, University of Minnesota


Grapheme, Phoneme, Morpheme: Features for Text Classification
Taylor Arnold, University of Richmond
8:35 AM

A Statistical Approach to the SIR Model
Andersen Chang, Carnegie Mellon University; William F Eddy, Carnegie Mellon University, Department of Statistics
8:55 AM

Estimation and Model Selection by Data-Driven Weighted Likelihoods
Sam-Erik Walker, Dept. of Math., Univ. of Oslo; Nils Lid Hjort, University of Oslo
9:30 AM

A Model Selection Study for Spatio-Temporal Change of Support
Andrew Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri
9:35 AM

Group Fused Multinomial Regression
Brad Price, West Virginia University; Adam Rothman, University of Minnesota; Charles Geyer, University of Minnesota
9:45 AM

Decorrelation of Covariates for High-Dimensional Sparse Regression
Yuan Ke, Princeton University; Jianqing Fan, Princeton University; Kaizheng Wang, Princeton University
10:50 AM

Model Selection in Latent Class Analysis
Zhaoyin Zhu, NYU; Yongzhao Shao, New York University School of Medicine
10:50 AM

Simultaneous Confidence Intervals for Post Model Selection Inference
Xin Gao, York University
11:15 AM

Bayesian Model Selection in the Presence of Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
11:35 AM

A Study of Delay Discounting Using Bayesian Model Selection
Christopher T. Franck, Virginia Tech Department of Statistics
11:50 AM

Multiple Imputation for Handling Measurement Errors
Trivellore Raghunathan, University of Michigan School of Public Health
2:05 PM

Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Errors
Tapabrata Maiti, Michigan State University; Liqian Cai, Liberty Mutual
2:35 PM

"Efron's Rules" for Inference after Imputation and Model Selection
Karen Messer, UCSD Biostatistics; Lin Liu, UCSD Biostatistics; Loki Natarajan, UCSD Biostatistics
2:45 PM

Thursday, 08/03/2017
Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM

Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM

INFERENCE for a NONPARAMETRIC MODEL WITHOUT NONPARAMETRIC ESTIMATION
Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
11:50 AM

 
 
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