Causal Inference with Bayesian Networks (Early Access)

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English | 2026 | ISBN: 9781835084984 | 176 Pages | PDF | 17 MB
This is a practical guide that explores the theory and application of Bayesian networks (BN) for probabilistic and causal inference. The book provides step-by-step explanations of graphical models of BN and their structural properties; the causal interpretations of BN and the notion of conditioning by intervention; and the mathematical model of structural equations and the representation in structured causal models (SCM).