Bayesian Model Selection and Parameter Estimation Applied to Sea Floor Pressure Data

1990 ◽  
pp. 185-194 ◽  
Author(s):  
D. Burton ◽  
G. J. Moore ◽  
W. J. Fitzgerald
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Pressure Data ◽  
Sea Floor

The Survivor Problem Continued: Introduction to Bayesian Model Selection

2019 ◽  
pp. 308-324
Author(s):  
Therese M. Donovan ◽  
Ruth M. Mickey
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Bayesian Model ◽  
Formal Education ◽  
Deviance Information Criterion ◽  
Information Criterion ◽  
Bayesian Model Selection ◽  
Assessment Model ◽  
Model Fit ◽  
Model Assessment

This chapter provides a very brief introduction to Bayesian model selection. The “Survivor Problem” is expanded in this chapter, where the focus is now on comparing two models that predict how long a contestant will last in a game of Survivor: one model uses years of formal education as a predictor, and a second model uses grit as a predictor. Gibbs sampling is used for parameter estimation. Deviance Information Criterion (commonly abbreviated as DIC) is used as a guide for model selection. Details of how this measure is computed are described. The chapter also discusses model assessment (model fit) and Occam’s razor.

scholarly journals Bayesian model selection and parameter estimation for fatigue damage progression models in composites

2015 ◽  
Vol 70 ◽  
pp. 361-373 ◽  
Author(s):  
J. Chiachío ◽  
M. Chiachío ◽  
A. Saxena ◽  
S. Sankararaman ◽  
G. Rus ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Fatigue Damage ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Damage Progression
Sign in / Sign up

Export Citation Format

Share Document