Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

Heinrich von Campe, Bjoern Malte Schaefer

The concept of Markov chain Monte Carlo (MCMC) cycles, an analogy to cyclic processes in heat engines, is presented in order to examine Bayesian inference problems. In this effort,…