Devin Wells

Bayesian nonparametric regression with conditional probability priors – We present a method to estimate the Bayesian posterior by combining two sets of samples from a posterior distribution with a priori posterior information. Specifically, we first combine the posterior distributions obtained by a priori posterior distribution with the probability of each sample being the same number […]