Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
Undirected graphical models are widely used in statistics, physics, and machine vision. However, Bayesian parameter estimation for undirected models is extremely challenging, since evaluation of the posterior typically involves the calculation of an intractable normalizing constant. This problem has received much attention, but very little of this has focused on …