Tabla de Contenidos: “…Graphical models and probabilistic reasoning -- Conditional independence, graphs and d-separation -- Evidence, sufficiency and Monte Carlo methods -- Decomposable graphs and chain graphs -- Learning the conditional probability potentials -- Learning the graph structure -- Parameters and sensitivity -- Graphical models and exponential families -- Causality and intervention calculus -- The junction tree and probability updating -- Factor graphs and the sum product algorithm.…”

Tabla de Contenidos: “…Introduction -- Propositional logic -- Probability calculus -- Bayesian networks -- Building Bayesian networks -- Inference by variable elimination -- Inference by factor elimination -- Inference by conditioning -- Models for graph decomposition -- Most likely instantiations -- The complexity of probabilistic inference -- Compiling Bayesian networks -- Inference with local structure -- Approximate inference by belief propagation -- Approximate inference by stochastic sampling -- Sensitivity analysis -- Learning : the maximum likelihood approach -- Learning : the Bayesian approach.…”