7 citations · 13 across the 3 of their papers we have counts for
3 papers
Error Estimation in Approximate Bayesian Belief Network Inference
Enrique F. Castillo, Remco R. Bouckaert, Jose M. Sarabia +1
We can perform inference in Bayesian belief networks by enumerating instantiations with high probability thus approximating the marginals. In this paper, we present a method for de…
Tail Sensitivity Analysis in Bayesian Networks
Enrique F. Castillo, Cristina Solares, Patricia Gomez
The paper presents an efficient method for simulating the tails of a target variable Z=h(X) which depends on a set of basic variables X=(X_1, ..., X_n). To this aim, variables X_i,…
Marginalizing in Undirected Graph and Hypergraph Models
Enrique F. Castillo, Juan Ferrándiz, Pilar Sanmartin
Given an undirected graph G or hypergraph X model for a given set of variables V, we introduce two marginalization operators for obtaining the undirected graph GA or hypergraph HA…