Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo methods

Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios

We present a sequential sampling methodology for weakly structural Markov laws, arising naturally in a Bayesian structure learning context for decomposable graphical models. As a k…