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Book
Choix et apprentissage en situation aléatoire.
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Year: 1971 Publisher: Paris : CNRS,

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Book
Probabilistic and Causal Inference : The Works of Judea Pearl
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ISBN: 1450395899 Year: 2022 Publisher: San Rafael : Morgan & Claypool Publishers,

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Professor Judea Pearl won the 2011 Turing Award "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning." This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988-2001), and causality, recent period (2002-2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl's work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.

The intuitive sources of probabilistic thinking in children
Authors: ---
ISBN: 9027706263 9027711909 9401018588 Year: 1975 Volume: 85 Publisher: Dordrecht ; Boston : D. Reidel,

The stochastic modeling of elementary psychological processes
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ISBN: 0521241812 0521274338 Year: 1983 Publisher: Cambridge Cambridge University press


Book
Probability and Statistical Models in Operations Research, Computer and Management Sciences : Including Applications to Reliability Models
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ISBN: 9783031645976 3031645979 Year: 2024 Publisher: Cham, Switzerland : Springer,

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This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges. The tools have become only more important in the unforeseen emergencies such as the COVID-19 pandemic and the conflict in Ukraine. This comprehensive book is an invaluable resource for graduate students seeking practical knowledge on probability and statistics in real-world applications. The book is divided into four parts: reliability, computer science, management science, and operations research. Each part includes surveys, recent results, and tools used. Moreover, it offers an essential reference point for researchers, engineers, and managers operating in laboratories, industries, businesses, and government agencies. Through the exchange of academic achievements, ideas, and discussions, this book serves as a catalyst for progress and innovation.

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