Add to ORKGIn this paper we derive the Bayes estimates of the location parameter of normal and lognormal distribution under the hierarchical priors for the vector parameter, . The ML-II ε-contaminated class of priors are employed at the second stage of hierarchical priors to examine the robustness of Bayes estimates with respect to possible misspecification at the second stage. The simulation studies for both normal and lognormal distributions confirm Berger’s (1985) assertion that form of the second stage prior does not affect the Bayes decisions
AbstractThis article is concerned with hierarchical prior distributions and the effect of replacing ...
This paper argues that the half-Cauchy distribution should replace the inverse-Gamma distribution as...
The use of hierarchical Bayesian models in statistical practice is extensive, yet it is dangerous to...
In this paper we derive the Bayes estimates of the location parameter of normal and lognormal distri...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
Hierarchical Bayesian analysis is extensively utilized in statistical practice. Surprisingly, howeve...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
The main topic of the thesis is the proper execution of a Bayesian inference if log-normality is ass...
Bayesian Hierarchical models has been widely used in modern statistical application. To deal with th...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
textabstractA sensible Bayesian model selection or comparison strategy implies selecting the model w...
We provide a review of prior distributions for objective Bayesian analysis. We start by examining so...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
The choice of prior distributions for the variances can be important and quite difficult in Bayesian...
AbstractThis article is concerned with hierarchical prior distributions and the effect of replacing ...
This paper argues that the half-Cauchy distribution should replace the inverse-Gamma distribution as...
The use of hierarchical Bayesian models in statistical practice is extensive, yet it is dangerous to...
In this paper we derive the Bayes estimates of the location parameter of normal and lognormal distri...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
Hierarchical Bayesian analysis is extensively utilized in statistical practice. Surprisingly, howeve...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
The main topic of the thesis is the proper execution of a Bayesian inference if log-normality is ass...
Bayesian Hierarchical models has been widely used in modern statistical application. To deal with th...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
textabstractA sensible Bayesian model selection or comparison strategy implies selecting the model w...
We provide a review of prior distributions for objective Bayesian analysis. We start by examining so...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
The choice of prior distributions for the variances can be important and quite difficult in Bayesian...
AbstractThis article is concerned with hierarchical prior distributions and the effect of replacing ...
This paper argues that the half-Cauchy distribution should replace the inverse-Gamma distribution as...
The use of hierarchical Bayesian models in statistical practice is extensive, yet it is dangerous to...