1 citations · 1 across the 1 of their papers we have counts for
3 papers
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…
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…
A Prior Distribution over Directed Acyclic Graphs for Sparse Bayesian Networks
Felix L. Rios, John M. Noble, Timo J. T. Koski
The main contribution of this article is a new prior distribution over directed acyclic graphs, which gives larger weight to sparse graphs. This distribution is intended for struct…