Results 351 to 360 of about 2,535,602 (380)
Some of the next articles are maybe not open access.

Bayesian default probability models

2014
This paper proposes a methodology for default probability estimation for low default portfolios, where the statistical inference may become troublesome. The author suggests using logistic regression models with the Bayesian estimation of parameters.
openaire   +2 more sources

Multi-objective traffic light control system based on Bayesian probability interpretation

2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Mohamed A. Khamis   +2 more
semanticscholar   +1 more source

A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran

Ecological Informatics, 2017
A. Jaafari, D. Gholami, E. Zenner
semanticscholar   +1 more source

Determining The Conditional Probabilities in Bayesian Networks

2003
Bayesian networks are used to illustrate how the probability of hav-ing a disease can be updated given the results from clinical tests. Theproblem of diagnosis, that is of determining whether a certain diseaseis present, $D$, or absent, $D'$, based on the result of a medical test, isdiscussed.
OLMUŞ, Hülya, ERBAŞ, S. Oral
openaire   +2 more sources

Indices of Effect Existence and Significance in the Bayesian Framework

Frontiers in Psychology, 2019
Dominique Makowski   +2 more
exaly  

Bayesian inference in physics

Reviews of Modern Physics, 2011
Udo Von Toussaint
exaly  

A guide to Bayesian model checking for ecologists

Ecological Monographs, 2018
Paul B Conn   +2 more
exaly  

Home - About - Disclaimer - Privacy