Add to ORKGIn this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all, it is proved that Lavine's linearization technique can be extended for analyzing this problem. Then, the result is applied to the E-contamination class of prior distributions
In order to deal with mild deviations from the assumed parametric model, we propose a procedure for ...
^aIt is well-known that classical p-values sometimes behave incoherently for testing hypotheses in ...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
This paper presents a new asymptotic approach to study the robustness of Bayesian inference to chang...
This paper presents a new asymptotic approach to study the robustness of Bayesian inference to chang...
This paper deals with measuring the Bayesian robustness of classes of contaminated priors. Two diffe...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
In order to deal with mild deviations from the assumed parametric model, we propose a procedure for ...
In order to deal with mild deviations from the assumed parametric model, we propose a procedure for ...
^aIt is well-known that classical p-values sometimes behave incoherently for testing hypotheses in ...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
In Chapter 2, the robustness of Bayes analysis with reference to conjugate prior classes is discusse...
This paper presents a new asymptotic approach to study the robustness of Bayesian inference to chang...
This paper presents a new asymptotic approach to study the robustness of Bayesian inference to chang...
This paper deals with measuring the Bayesian robustness of classes of contaminated priors. Two diffe...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
In order to deal with mild deviations from the assumed parametric model, we propose a procedure for ...
In order to deal with mild deviations from the assumed parametric model, we propose a procedure for ...
^aIt is well-known that classical p-values sometimes behave incoherently for testing hypotheses in ...
The posterior predictive distribution is the distribution of future observations, conditioned on the...