Add to ORKGBayes negative binomial models under two different parameterizations are shown to be completely identifable by the form of the Bayes estimates of the parameter. Also power series mixtures are briefly treated
Choosing the number of mixture components remains an elusive challenge. Model selection criteria can...
This dissertation explores a Bayesian nonparametric approach to mixture modeling and the use of the ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
Bayes negative binomial models under two different parameterizations are shown to be completely iden...
AbstractProblems of specification of discrete bivariate statistical models by a modified power serie...
2000 Mathematics Subject Classification: 62F15.The Negative Binomial model, which is generated by a ...
Problems of specification of discrete bivariate statistical models by a modified power series condit...
To date, Bayesian inferences for the negative binomial distribution (NBD) have relied on computation...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
This study considers two discrete distributions based on Bernoulli trials: the Binomial and the Nega...
We consider Bayesian inference about the mean of a binary variable that is subject to misclassificat...
Field of study: Statistics.Dr. Dongchu Sun, Thesis Supervisor.Includes vita."July 2018."In Bayesian ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
It is well known that the classical Bayesian posterior arises naturally as the unique solution of di...
Under standard prior distributions, fitted probabilities from Bayesian multinomial probit models can...
Choosing the number of mixture components remains an elusive challenge. Model selection criteria can...
This dissertation explores a Bayesian nonparametric approach to mixture modeling and the use of the ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
Bayes negative binomial models under two different parameterizations are shown to be completely iden...
AbstractProblems of specification of discrete bivariate statistical models by a modified power serie...
2000 Mathematics Subject Classification: 62F15.The Negative Binomial model, which is generated by a ...
Problems of specification of discrete bivariate statistical models by a modified power series condit...
To date, Bayesian inferences for the negative binomial distribution (NBD) have relied on computation...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
This study considers two discrete distributions based on Bernoulli trials: the Binomial and the Nega...
We consider Bayesian inference about the mean of a binary variable that is subject to misclassificat...
Field of study: Statistics.Dr. Dongchu Sun, Thesis Supervisor.Includes vita."July 2018."In Bayesian ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
It is well known that the classical Bayesian posterior arises naturally as the unique solution of di...
Under standard prior distributions, fitted probabilities from Bayesian multinomial probit models can...
Choosing the number of mixture components remains an elusive challenge. Model selection criteria can...
This dissertation explores a Bayesian nonparametric approach to mixture modeling and the use of the ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...