This paper contains several results and examples about the equivalence (including equivalence in a weaker sense of the usual one) of the invariant and almost - invariant s-fields in a Bayesian statistical experiment and the equivalence of their intersections with a sufficient s-fields. This last equivalence is used in a classical setting in the well known paper Hall, Wijsman, Ghosh (1965) to prove the main theorem
Complex dependency structures are often conditionally modeled, where random effects parameters are u...
AbstractBased on quasi-invariance properties of the Gaussian process and the gamma process, we give ...
In a Bayesian Covariance Structure Model (BCSM) the dependence structure implied by random item para...
Throughout this section, (Ω,A,P) will be a statistical experiment, i.e., P is a family of probabilit...
This paper introduces a weak notion of equivalence of [sigma]-fields in a Bayesian framework. Some r...
This paper is concerned with the relationship between sufficiency, invariance and conditional indipe...
In this paper, the concept of invariance, standard in measure theory, is extended to the conditional...
SUMMARY. In Bayesian analysis with a “minimal ” data set and common noninformative priors, the (form...
When comparing test or questionnaire scores between groups, an important assumption is that the ques...
Some basic results about invariance are given using quotient σ-fields. A strong kind of invariance i...
We consider a statistical theory as being invariant when the results of two statisticians' independe...
© 1973 Dr. B. ZehnwirthBroadly speaking this thesis is concerned with the principle of invariance in...
This chapter focuses on a practical analysis of the Bayesian approximate measurement invariance mode...
AbstractHypothesis testing problems are studied when invariance under suitable groups of transformat...
AbstractThe almost sure invariance principle for some degenerate U-statistics of degree two is consi...
Complex dependency structures are often conditionally modeled, where random effects parameters are u...
AbstractBased on quasi-invariance properties of the Gaussian process and the gamma process, we give ...
In a Bayesian Covariance Structure Model (BCSM) the dependence structure implied by random item para...
Throughout this section, (Ω,A,P) will be a statistical experiment, i.e., P is a family of probabilit...
This paper introduces a weak notion of equivalence of [sigma]-fields in a Bayesian framework. Some r...
This paper is concerned with the relationship between sufficiency, invariance and conditional indipe...
In this paper, the concept of invariance, standard in measure theory, is extended to the conditional...
SUMMARY. In Bayesian analysis with a “minimal ” data set and common noninformative priors, the (form...
When comparing test or questionnaire scores between groups, an important assumption is that the ques...
Some basic results about invariance are given using quotient σ-fields. A strong kind of invariance i...
We consider a statistical theory as being invariant when the results of two statisticians' independe...
© 1973 Dr. B. ZehnwirthBroadly speaking this thesis is concerned with the principle of invariance in...
This chapter focuses on a practical analysis of the Bayesian approximate measurement invariance mode...
AbstractHypothesis testing problems are studied when invariance under suitable groups of transformat...
AbstractThe almost sure invariance principle for some degenerate U-statistics of degree two is consi...
Complex dependency structures are often conditionally modeled, where random effects parameters are u...
AbstractBased on quasi-invariance properties of the Gaussian process and the gamma process, we give ...
In a Bayesian Covariance Structure Model (BCSM) the dependence structure implied by random item para...