Results 241 to 250 of about 622,033 (280)
Some of the next articles are maybe not open access.
Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks
Reliability Engineering and System Safety, 2022Xing Su, Ahsan Nawaz
exaly
Bayesian Inference for Lancaster Probabilities [PDF]
, 2008 Inference for bivariate distributions with fixed marginals is very important in applications. When a bayesian approach is followed, the problem of defining a (prior) distribution on a class of probabilities having given marginals arises. We consider the class of Lancaster distributions.
CIFARELLI, DONATO MICHELE +2 more
openaire +1 more source
Bayesian default probability models
2014This 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
Determining the conditional probabilities in Bayesian networks
2003Summary: Bayesian networks are used to illustrate how the probability of having a disease can be updated given the results from clinical tests. The problem of diagnosis, that is of determining whether a certain disease is present, \(D\), or absent, \(D'\), based on the result of a medical test, is discussed.
OLMUŞ, Hülya, ERBAŞ, S. Oral
openaire +3 more sources
Influences of variables on ship collision probability in a Bayesian belief network model
Reliability Engineering and System Safety, 2012Maria Hänninen, Pentti Kujala
exaly