It is well-known that classical p-values sometimes behave incoherently for testing hypotheses in the sense that, when '00 Θ⊂Θ, the support given to 0Θ is greater than or equal to the support given to '0Θ. This problem is also found for posterior predictive p-values (a Bayesian-motivated alternative to classical p-values). In this paper, it is proved that, under some conditions, the posterior predictive p-value based on theposterior odds is coherent, showing that the choice of a suitable discrepancy variable is crucial
It is argued that the posterior predictive distribution for the binomial and multinomial distributio...
Bayesian p values are a popular and important class of approaches for Bayesian model Checking. They ...
<p>Posterior probability of the selected scenarios and confidence in scenario choice in the ABC anal...
^aIt is well-known that classical p-values sometimes behave incoherently for testing hypotheses in ...
This article addresses issues of model choice in Bayesian contexts, and focusses on the use of the s...
The posterior predictive p value (ppp) was invented as a Bayesian counterpart to classical p values....
In this paper, the posterior predictive p-value is ana-lyzed from different viewpoints as an alterna...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
By representing the range of fair betting odds according to a pair of confidence set estimators, dua...
In this paper, we give a description of posterior predictive checking (introduced by Rubin, 1984) fo...
In order to accurately control the Type I error rate (typically .05), a p value should be uniformly ...
We define an extension of the posterior predictive $p$-value for multiple test statistics and establ...
In this paper, we give a description of posterior predictive checking (intro duced by Rubin, 1984) f...
It is argued that the posterior predictive distribution for the binomial and multinomial distributio...
Bayesian p values are a popular and important class of approaches for Bayesian model Checking. They ...
<p>Posterior probability of the selected scenarios and confidence in scenario choice in the ABC anal...
^aIt is well-known that classical p-values sometimes behave incoherently for testing hypotheses in ...
This article addresses issues of model choice in Bayesian contexts, and focusses on the use of the s...
The posterior predictive p value (ppp) was invented as a Bayesian counterpart to classical p values....
In this paper, the posterior predictive p-value is ana-lyzed from different viewpoints as an alterna...
The testing of two-sided hypotheses in univariate and multivariate situations is considered. The goa...
In this paper, the Bayesian robustness of the posterior predictive p-value is studied. First of all,...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
By representing the range of fair betting odds according to a pair of confidence set estimators, dua...
In this paper, we give a description of posterior predictive checking (introduced by Rubin, 1984) fo...
In order to accurately control the Type I error rate (typically .05), a p value should be uniformly ...
We define an extension of the posterior predictive $p$-value for multiple test statistics and establ...
In this paper, we give a description of posterior predictive checking (intro duced by Rubin, 1984) f...
It is argued that the posterior predictive distribution for the binomial and multinomial distributio...
Bayesian p values are a popular and important class of approaches for Bayesian model Checking. They ...
<p>Posterior probability of the selected scenarios and confidence in scenario choice in the ABC anal...