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This book is concerned with statistics which is needed for studying AI (Artificial Intelligence). This book is authored... Read More >>
This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with... Read More >>
This book describes how subscores are currently used, when their use is or is not appropriate, how they should be... Read More >>
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An easy-to-understand guide to modelling productivity and efficiency using modern statistical tools. Introduces... Read More >>
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples... Read More >>
This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. For... Read More >>
The author’s method is to represent the tau functions introduced by Hirota–Sato and developed by Segal–Wilson later... Read More >>
The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of... Read More >>
This handbook provides a comprehensive introduction and overview of the key developments in the BFF schools of inference.... Read More >>
This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete... Read More >>
Ce livre est une introduction au calcul des probabilit�s, comprend trois chapitres �l�mentaires: Le premier chapitre... Read More >>