scholarly journals Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures

2020 ◽  
Vol 34 (1) ◽  
pp. 51-70 ◽  
Author(s):  
Flávio B. Gonçalves ◽  
Marcos O. Prates ◽  
Victor Hugo Lachos
Keyword(s):  
Model Selection ◽  
Linear Regression ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Finite Mixtures ◽  
Selection For ◽  
Heavy Tailed

scholarly journals Bayesian Model Selection for Genome-Wide Epistatic Quantitative Trait Loci Analysis

Genetics ◽  
2005 ◽  
Vol 170 (3) ◽  
pp. 1333-1344 ◽  
Author(s):  
Nengjun Yi ◽  
Brian S. Yandell ◽  
Gary A. Churchill ◽  
David B. Allison ◽  
Eugene J. Eisen ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Model Selection ◽  
Quantitative Trait ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Genome Wide ◽  
Trait Loci ◽  
Selection For

scholarly journals Application of Bayesian Model Selection for Metal Yield Models using ALEGRA and Dakota

2018 ◽  
Author(s):  
Teresa Portone ◽  
John Henry Niederhaus ◽  
Jason James Sanchez ◽  
Laura Painton Swiler
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Metal Yield ◽  
Selection For

Bayesian model selection for the nonlinear hysteretic model of CLT connections

2020 ◽  
Vol 223 ◽  
pp. 111118 ◽  
Author(s):  
Jixing Cao ◽  
Haibei Xiong ◽  
Feng-Liang Zhang ◽  
Lin Chen ◽  
Carlos Ramonell Cazador
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Hysteretic Model ◽  
Selection For

A guide to Bayesian model selection for ecologists

2015 ◽  
Vol 85 (1) ◽  
pp. 3-28 ◽  
Author(s):  
M. B. Hooten ◽  
N. T. Hobbs
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Selection For

scholarly journals Bayesian Model Selection for Beta Autoregressive Processes

2012 ◽  
Vol 7 (2) ◽  
pp. 385-410 ◽  
Author(s):  
Roberto Casarin ◽  
Luciana Dalla Valle ◽  
Fabrizio Leisen
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Autoregressive Processes ◽  
Selection For
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