We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
Abstract: This article deals with the discovery of causal relations from a combination of observational data and qualitative assumptions about the nature of causality in the presence of unmeasured ...
Abstract: The stability issues of linear systems with time-varying delays are tackled in this article. Several positive augmented Lyapunov-Krasovskii (L-K) functionals are proposed by introducing ...
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