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math.ST2018
Sequential sampling of junction trees for decomposable graphs
Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios
The junction-tree representation provides an attractive structural property for organizing a decomposable graph. In this study, we present two novel stochastic algorithms, which we…
math.ST2018
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…