Efficient Posterior Sampling for Bayesian Poisson Regression.

Laura D'angelo Antonio Canale

Published in: J. Comput. Graph. Stat. (2023)

Keyphrases

posterior distribution
posterior probability
markov chain monte carlo
model selection
gaussian processes
regression analysis
sparse bayesian learning
training data
bayesian networks
computationally expensive
closed form
learning algorithm
sample size
monte carlo
model averaging
active sampling