Probability and Stochastic
Reference documents in Probability and Stochastic.
Documents in Probability and Stochastic
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This book is an introduction to Probabilistic Programming. It not only provides a thorough background for anyone wishing to use a probabilistic programming system, but also introduces the techniques needed to design and build these systems.
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This open access book provides a state-of-the-art overview of the theoretical underpinnings of modern Probabilistic Programming and their applications in machine learning, security, and other domains, etc.
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This book use probabilistic programming languages to express such Bayesian procedural models. A probabilistic programming language (PPL) provides random choice and Bayesian conditioning operators as primitives, and inference corresponds to searching the space of program executions for high-probability execution traces.
