Estimating Latent Causal: Influences: TETRAD II Model Selection and Bayesian Parameter Estimation

1999 ◽  
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Bayesian Parameter Estimation

Bayesian Statistics

2021 ◽  
pp. 165-180
Author(s):  
Timothy E. Essington
Keyword(s):  
Parameter Estimation ◽  
Statistical Analysis ◽  
Model Selection ◽  
Bayesian Statistics ◽  
Bayes Theorem ◽  
Bayesian Parameter Estimation ◽  
Bayesian Approaches ◽  
Frequentist Statistics ◽  
The Difference ◽  
The Bayesian Approach

The chapter “Bayesian Statistics” gives a brief overview of the Bayesian approach to statistical analysis. It starts off by examining the difference between frequentist statistics and Bayesian statistics. Next, it introduces Bayes’ theorem and explains how the theorem is used in statistics and model selection, with the prosecutor’s fallacy given as a practice example. The chapter then goes on to discuss priors and Bayesian parameter estimation. It concludes with some final thoughts on Bayesian approaches. The chapter does not answer the question “Should ecologists become Bayesian?” However, to the extent that alternative models can be posed as alternative values of parameters, Bayesian parameter estimation can help assign probabilities to those hypotheses.

scholarly journals Inference of experimental radial impurity transport on Alcator C-Mod: Bayesian parameter estimation and model selection

2020 ◽  
Vol 60 (12) ◽  
pp. 126014
Author(s):  
F. Sciortino ◽  
N.T. Howard ◽  
E.S. Marmar ◽  
T. Odstrcil ◽  
N.M. Cao ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Bayesian Parameter Estimation ◽  
Impurity Transport

Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems

2015 ◽  
Vol 82 (3) ◽  
pp. 1061-1080 ◽  
Author(s):  
Philippe Bisaillon ◽  
Rimple Sandhu ◽  
Mohammad Khalil ◽  
Chris Pettit ◽  
Dominique Poirel ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Dynamical Systems ◽  
Model Selection ◽  
Nonlinear Dynamical Systems ◽  
Bayesian Parameter Estimation ◽  
Nonlinear Dynamical ◽  
Strongly Nonlinear ◽  
Selection For

scholarly journals Bayesian Parameter Estimation and Model Selection for Biophysical Models of Leukocyte Rolling

2016 ◽  
Vol 110 (3) ◽  
pp. 304a
Author(s):  
Mats L. Moskopp ◽  
Andreas Deussen ◽  
Triantafyllos Chavakis ◽  
Peter Dieterich
Keyword(s):  
Parameter Estimation ◽  
Model Selection ◽  
Leukocyte Rolling ◽  
Bayesian Parameter Estimation ◽  
Biophysical Models ◽  
Selection For
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