Tag: Markov Chains and Monte Carlo Methods

What the study found The paper presents samsara, a continuous-time Markov chain Monte Carlo (CTMCMC) sampler designed for Bayesian inference when the number of parameters is unknown. The authors report that it achieves automatic acceptance of trans-dimensional moves and high sampling efficiency. Why the authors say this matters The authors say this matters because many…