This article introduces a new method for eliciting prior distributions f...
Eliciting informative prior distributions for Bayesian inference can oft...
Developing spatio-temporal crime prediction models, and to a lesser exte...
In this paper we show that there is a link between approximate Bayesian
...
Insider threats entail major security issues in geopolitics, cyber risk
...
Recently, it has been shown that approximations to marginal posterior
di...
Adversarial Risk Analysis (ARA) is an upcoming methodology that is consi...
Consider an s-dimensional function being evaluated at n points of a low
...