Probabilistic Inference Using Markov Chain Monte Carlo Methods

Probabilistic inference is an attractive approach to uncertain reasoning and empirical learning in artificial intelligence. Computational difficulties arise, however, because probabilistic models with the necessary realism and exibility lead to complex distributions over high-dimensional spaces.