Add to ORKGIn the paper the family of proper conjugate priors for curved exponential families of stochastic processes is characterized.Conjugate prior exponential-type process curved exponential family stopping time
Reference analysis is one of the most successful general methods to derive noninformative prior dis...
A general affine Markov semigroup is formulated as the convolution of a ho-mogeneous one with a skew...
The local specification of priors in nondecomposable graphical models does not necessarily yield a p...
The family of proper conjugate priors is characterized in a general exponential model for stochastic...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
Abstract. There are several ways to parameterize a distribution belonging to an exponential family, ...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
AbstractReference analysis is one of the most successful general methods to derive noninformative pr...
Bayesian Inference, Conjugate Parameterisation, Enriched Prior, Extended Conjugate Family, Posterior...
Reference analysis is one of the most successful general methods to derive noninformative prior dis...
Dual structure in the conjugate analysis of curved exponential families (Toshio Ohnishi) (Takemi Yan...
Reference analysis is one of the most successful general methods to derive noninformative prior dis...
A general affine Markov semigroup is formulated as the convolution of a ho-mogeneous one with a skew...
The local specification of priors in nondecomposable graphical models does not necessarily yield a p...
The family of proper conjugate priors is characterized in a general exponential model for stochastic...
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate pr...
Abstract. There are several ways to parameterize a distribution belonging to an exponential family, ...
Given an exponential family of sampling distributions of order k, one may construct in a natural way...
Consider a natural exponential family parameterized by θ. It is well known that the standard conjuga...
Reconsidering generalizations of the original Bayesian framework that have been suggested during the...
International audienceThere are several ways to parameterize a distribution belonging to an exponent...
Consider a standard conjugate family of prior distributions for a vectorparameter indexing an expone...
AbstractReference analysis is one of the most successful general methods to derive noninformative pr...
Bayesian Inference, Conjugate Parameterisation, Enriched Prior, Extended Conjugate Family, Posterior...
Reference analysis is one of the most successful general methods to derive noninformative prior dis...
Dual structure in the conjugate analysis of curved exponential families (Toshio Ohnishi) (Takemi Yan...
Reference analysis is one of the most successful general methods to derive noninformative prior dis...
A general affine Markov semigroup is formulated as the convolution of a ho-mogeneous one with a skew...
The local specification of priors in nondecomposable graphical models does not necessarily yield a p...