Probabilistic and Stochastic Methods in Analysis, with Applications, J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry
Автор: Koller Daphne, Friedman Nir Название: Probabilistic Graphical Models: Principles and Techniques ISBN: 0262013193 ISBN-13(EAN): 9780262013192 Издательство: MIT Press Рейтинг: Цена: 21161.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.
Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Автор: Bass Название: Probabilistic Techniques in Analysis ISBN: 0387943870 ISBN-13(EAN): 9780387943879 Издательство: Springer Рейтинг: Цена: 12012.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploring the use of techniques drawn from probability research to tackle problems in mathematical analysis, this study includes discussion of the construction of the Martin boundary, Dahlberg`s Theorem, probabilistic proofs of the boundary Harnack principle, and much more.
Автор: Gheorghe Constantin; Ioana Istratescu Название: Elements of Probabilistic Analysis with Applications ISBN: 9027728380 ISBN-13(EAN): 9789027728388 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Cooper, George R.; McGillem, Clare D. Название: Probabilistic Methods of Signal and System Analysis ISBN: 0195123549 ISBN-13(EAN): 9780195123548 Издательство: Oxford Academ Рейтинг: Цена: 36430.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Originally published in 1971, this text is intended for signals and systems courses which emphasize probability. It provides an introduction to probability theory, statistics, random processes and the analysis of systems with random inputs. This edition has been updated and uses Matlab.
Автор: Narens Louis Название: Probabilistic Lattices: With Applications To Psychology ISBN: 9814630411 ISBN-13(EAN): 9789814630412 Издательство: World Scientific Publishing Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
There are many books on lattice theory in the field, but none interfaces with the foundations of probability. This book does. It also develops new probability theories with rigorous foundations for decision theory and applies them to specific well-known problematic examples. There is only one other book that attempts this. It uses quantum probability theory from physics. The new probability theories developed in this book are different; they are not borrowed from physics but are explicitly designed for decision theory.
Автор: Ren? Carmona; Fran?ois Delarue Название: Probabilistic Theory of Mean Field Games with Applications II ISBN: 3319564358 ISBN-13(EAN): 9783319564357 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.
Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry Название: Probabilistic and Stochastic Methods in Analysis, with Applications ISBN: 9401052395 ISBN-13(EAN): 9789401052399 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Italy, July 14-27, 1991
Автор: Ren? Carmona; Fran?ois Delarue Название: Probabilistic Theory of Mean Field Games with Applications I ISBN: 3319564374 ISBN-13(EAN): 9783319564371 Издательство: Springer Рейтинг: Цена: 19496.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.
Автор: Ivan Kramosil Название: Probabilistic Analysis of Belief Functions ISBN: 1461351456 ISBN-13(EAN): 9781461351450 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Tim Bedford Название: Probabilistic Risk Analysis ISBN: 0521773202 ISBN-13(EAN): 9780521773201 Издательство: Cambridge Academ Рейтинг: Цена: 14731.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on extensive experience, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgement and uncertainty propagation. The relationship with decision making is highlighted.
Описание: This book constitutes the refereed proceedings of the Joint Workshop on Process Algebra and Performance Modeling and Probabilistic Methods in Verification, PAPM-PROBMIV 2001, held in Aachen, Germany in September 2001.The 12 revised full papers presented together with one invited paper were carefully reviewed and selected from 23 submissions.
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