We address the multivariate version of French's group decision problem where the $m$ members of a group, who are jointly responsible for the decisions they should ...

This paper considers general linear models for Gaussian geostatistical data with multi-dimensional separable correlation functions involving multiple parameters. We derive various objective priors, ...

Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American I’m not sure when I first heard of Bayes’ ...