We consider the problem of estimating the mean of an infinite-dimensional normal distribution from the Bayesian perspective. Under the assumption that the unknown true mean satisfies a "smoothness ...

Specifying accurate informative prior distributions is a question of carefully selecting studies that comprise the body of comparable background knowledge. Psychological research, however, consists of ...

This project implements Bayesian inference for a logit-normal regression model, estimating the extent to which justice needs are met based on survey data. The model assumes that the logit ...

This is a preview. Log in through your library . Abstract The authors describe Bayesian estimation for the parameters of the bivariate gamma distribution due to Kibble (1941). The density of this ...