Elements of Probabilistic Analysis with Applications, Gheorghe Constantin; Ioana Istratescu

Автор: Tim Bedford
Название: Probabilistic Risk Analysis
ISBN: 0521773202 ISBN-13(EAN): 9780521773201
Издательство: Cambridge Academ
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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.

Автор: Cooper, George R.; McGillem, Clare D.
Название: Probabilistic Methods of Signal and System Analysis
ISBN: 0195123549 ISBN-13(EAN): 9780195123548
Издательство: Oxford Academ
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Цена: 36430.00 р.
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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: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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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
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Цена: 12012.00 р.
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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: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry
Название: Probabilistic and Stochastic Methods in Analysis, with Applications
ISBN: 0792318048 ISBN-13(EAN): 9780792318040
Издательство: Springer
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Цена: 65685.00 р.
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Описание: Contains three expositions on wavelets, frames and their applications. This book includes the relation between probability and partial differential equations, including probabilistic representations of solutions to elliptic and parabolic PDEs.

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
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Цена: 41925.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Italy, July 14-27, 1991

Автор: Narens Louis
Название: Probabilistic Lattices: With Applications To Psychology
ISBN: 9814630411 ISBN-13(EAN): 9789814630412
Издательство: World Scientific Publishing
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Цена: 12514.00 р.
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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
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Цена: 19564.00 р.
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Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Автор: Ren? Carmona; Fran?ois Delarue
Название: Probabilistic Theory of Mean Field Games with Applications I
ISBN: 3319564374 ISBN-13(EAN): 9783319564371
Издательство: Springer
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Цена: 19496.00 р.
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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
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Цена: 13974.00 р.
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