Both the Bayes factor and the relative belief ratio satisfy the principl...
Bayesian likelihood-free inference, which is used to perform Bayesian
in...
The conditionality principle C plays a key role in attempts to character...
The problem of combining the evidence concerning an unknown, contained i...
The general problem of constructing confidence regions is unsolved in th...
ROC analyses are considered under a variety of assumptions concerning th...
Bayesian likelihood-free methods implement Bayesian inference using
simu...
There are various approaches to the problem of how one is supposed to co...
A common concern with Bayesian methodology in scientific contexts is tha...
Any Bayesian analysis involves combining information represented through...
The data of four recent experiments --- conducted in Delft, Vienna, Boul...
The multinomial model is one of the simplest statistical models. When
co...
The features of a logically sound approach to a theory of statistical
re...