Sequential Monte Carlo for Cut-Bayesian Posterior Computation

Joseph Mathews, Giri Gopalan, James Gattiker +2

We propose a sequential Monte Carlo (SMC) method to efficiently and accurately compute cut-Bayesian posterior quantities of interest, variations of standard Bayesian approaches con…