841 citations · 1.2k across the 34 of their papers we have counts for
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cs.LG2012
Learning Measurement Models for Unobserved Variables
Ricardo Silva, Richard Scheines, Clark Glymour +1
Observed associations in a database may be due in whole or part to variations in unrecorded (latent) variables. Identifying such variables and their causal relationships with one a…
stat.ML2012★ 2 cited
Latent Composite Likelihood Learning for the Structured Canonical Correlation Model
Ricardo Silva
Latent variable models are used to estimate variables of interest quantities which are observable only up to some measurement error. In many studies, such variables are known but n…
stat.ME2012
Bayesian Inference for Gaussian Mixed Graph Models
Ricardo Silva, Zoubin Ghahramani
We introduce priors and algorithms to perform Bayesian inference in Gaussian models defined by acyclic directed mixed graphs. Such a class of graphs, composed of directed and bi-di…