Title: A path integral approach to Bayesian inference in Markov processes,
Abstract: We formulate Bayesian updates in Markov processes by means of path integral
techniques and derive the imaginary-time Schrödinger equation with
likelihood to direct the inference incorporated as a potential for the
posterior probability distribution