This article models the common density of an exchangeable sequence of observations by a generalization of the process derived from a logistic transform of a Gaussian process. The support of the ...

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 ...

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 ...