38 citations · 76 across the 5 of their papers we have counts for
5 papers
Path Weights in Concentration Graphs
Alberto Roverato, Robert Castelo
A graphical model provides a compact and efficient representation of the association structure of a multivariate distribution by means of a graph. Relevant features of the distribu…
The networked partial correlation and its application to the analysis of genetic interactions
Alberto Roverato, Robert Castelo
Genetic interactions confer robustness on cells in response to genetic perturbations. This often occurs through molecular buffering mechanisms that can be predicted using, among ot…
Mapping eQTL networks with mixed graphical Markov models
Inma Tur, Alberto Roverato, Robert Castelo
Expression quantitative trait loci (eQTL) mapping constitutes a challenging problem due to, among other reasons, the high-dimensional multivariate nature of gene-expression traits.…
Improved learning of Bayesian networks
Tomas Kocka, Robert Castelo
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Bayes…
Learning mixed graphical models from data with p larger than n
Inma Tur, Robert Castelo
Structure learning of Gaussian graphical models is an extensively studied problem in the classical multivariate setting where the sample size n is larger than the number of random…