Bayesian Inference, Conjugate Parameterisation, Enriched Prior, Extended Conjugate Family, Posterior Linearity, Quadratic Variance Function, Reducibility, Skewness Vector,
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
A broad class of models that routinely appear in several fields can be expressed as partially or ful...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
Abstract. There are several ways to parameterize a distribution belonging to an exponential family, ...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
A broad class of models that routinely appear in several fields can be expressed as partially or ful...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
Abstract. There are several ways to parameterize a distribution belonging to an exponential family, ...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
A broad class of models that routinely appear in several fields can be expressed as partially or ful...
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