Probabilistic Theory of Mean Field Games with Applications I, Ren? Carmona; Fran?ois Delarue

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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Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
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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: Narens Louis
Название: Probabilistic Lattices: With Applications To Psychology
ISBN: 9814630411 ISBN-13(EAN): 9789814630412
Издательство: World Scientific Publishing
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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: 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: 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: Gheorghe Constantin; Ioana Istratescu
Название: Elements of Probabilistic Analysis with Applications
ISBN: 9027728380 ISBN-13(EAN): 9789027728388
Издательство: Springer
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Цена: 15372.00 р.
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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: Poul Henrik Damgaard; H. H?ffel; A. Rosenblum
Название: Probabilistic Methods in Quantum Field Theory and Quantum Gravity
ISBN: 1461366860 ISBN-13(EAN): 9781461366867
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Proceedings of a NATO ARW held in Cargese, France, August 21-27, 1989

Название: Probabilistic Theory of Pattern Recognition
ISBN: 146126877X ISBN-13(EAN): 9781461268772
Издательство: Springer
Цена: 12577.00 р.
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Описание: Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

Автор: O. Hadzic; E. Pap
Название: Fixed Point Theory in Probabilistic Metric Spaces
ISBN: 9048158753 ISBN-13(EAN): 9789048158751
Издательство: Springer
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Цена: 13974.00 р.
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Автор: Alon, Noga Spencer, Joel H.
Название: Probabilistic method
ISBN: 0470170204 ISBN-13(EAN): 9780470170205
Издательство: Wiley
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Цена: 16157.00 р.
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Описание: Describes probabilistic methods in combinatorics. This book enables readers to use probabilistic techniques for solving problems in such fields as theoretical computer science, mathematics, and statistical physics. It is suitable for researchers in combinatorics and algorithm design who would like to understand the use of probabilistic methods.