This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, securit

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural a

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This book unifies a broad range of programming language concepts under the framework of type systems and structural operational semantics.

Since its birth, the field of Probabilistic Logic Programming has seen a steady increase of activity, with many proposals for languages and algorithms for infer