Metastability: A Potential-Theoretic Approach, Bovier Anton, Den Hollander Frank
Автор: Houman Owhadi, Clint Scovel Название: Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design ISBN: 1108484360 ISBN-13(EAN): 9781108484367 Издательство: Cambridge Academ Рейтинг: Цена: 155230.00 T Наличие на складе: Поставка под заказ. Описание: This book, meant for graduate students and researchers, explores the connections between numerical approximation and statistical inference from a game and decision theoretic perspective, and illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, and fast solvers.
Автор: Jose C. Principe Название: Information Theoretic Learning ISBN: 1461425859 ISBN-13(EAN): 9781461425854 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.
Автор: Anton Bovier; Frank den Hollander Название: Metastability ISBN: 3319247751 ISBN-13(EAN): 9783319247755 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph provides a concise presentation of a mathematical approach to metastability, a wide-spread phenomenon in the dynamics of non-linear systems - physical, chemical, biological or economic - subject to the action of temporal random forces typically referred to as noise, based on potential theory of reversible Markov processes.
Автор: Gillman, Rick Название: Game Theoretic Modeling ISBN: 1482248093 ISBN-13(EAN): 9781482248098 Издательство: Taylor&Francis Рейтинг: Цена: 64300.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is an introductory game theory book that quickly moves readers through the fundamental ideas of game theory to enable them to engage in creative modeling projects based on game theoretic concepts.
Game-theoretic probability and finance come of age
Glenn Shafer and Vladimir Vovk's Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematical probability. Based on fifteen years of further research, Game-Theoretic Foundations for Probability and Finance presents a mature view of the foundational role game theory can play. Its account of probability theory opens the way to new methods of prediction and testing and makes many statistical methods more transparent and widely usable. Its contributions to finance theory include purely game-theoretic accounts of Ito's stochastic calculus, the capital asset pricing model, the equity premium, and portfolio theory.
Game-Theoretic Foundations for Probability and Finance is a book of research. It is also a teaching resource. Each chapter is supplemented with carefully designed exercises and notes relating the new theory to its historical context.
Praise from early readers
"Ever since Kolmogorov's Grundbegriffe, the standard mathematical treatment of probability theory has been measure-theoretic. In this ground-breaking work, Shafer and Vovk give a game-theoretic foundation instead. While being just as rigorous, the game-theoretic approach allows for vast and useful generalizations of classical measure-theoretic results, while also giving rise to new, radical ideas for prediction, statistics and mathematical finance without stochastic assumptions. The authors set out their theory in great detail, resulting in what is definitely one of the most important books on the foundations of probability to have appeared in the last few decades." - Peter Gr nwald, CWI and University of Leiden
"Shafer and Vovk have thoroughly re-written their 2001 book on the game-theoretic foundations for probability and for finance. They have included an account of the tremendous growth that has occurred since, in the game-theoretic and pathwise approaches to stochastic analysis and in their applications to continuous-time finance. This new book will undoubtedly spur a better understanding of the foundations of these very important fields, and we should all be grateful to its authors." - Ioannis Karatzas, Columbia University
Автор: Masanao Aoki Название: Notes on Economic Time Series Analysis: System Theoretic Perspectives ISBN: 3540126961 ISBN-13(EAN): 9783540126966 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In seminars and graduate level courses I have had several opportunities to discuss modeling and analysis of time series with economists and economic graduate students during the past several years.
Автор: Tatiana Tatarenko Название: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ISBN: 3319654780 ISBN-13(EAN): 9783319654782 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors.
Автор: Tatiana Tatarenko Название: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ISBN: 331988039X ISBN-13(EAN): 9783319880396 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Поставка под заказ. Описание: These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors.
Автор: Miguel R. D. Rodrigues, Yonina C. Eldar Название: Information-Theoretic Methods in Data Science ISBN: 1108427138 ISBN-13(EAN): 9781108427135 Издательство: Cambridge Academ Рейтинг: Цена: 90810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.
Автор: Wilhelm Waldenfels Название: A Measure Theoretical Approach to Quantum Stochastic Processes ISBN: 3642450814 ISBN-13(EAN): 9783642450815 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Starting from the premise that abstract quantum stochastic processes can be understood as a quantum field theory in one space and time coordinate, this guide considers a number of representative examples and covers advanced topics such as white noise calculus.
Автор: Torres del Castillo Gerardo F. Название: Differentiable Manifolds: A Theoretical Physics Approach ISBN: 3030451925 ISBN-13(EAN): 9783030451929 Издательство: Springer Цена: 46570.00 T Наличие на складе: Поставка под заказ. Описание: This textbook delves into the theory behind differentiable manifolds while exploring various physics applications along the way.
Автор: Blinder, Seymour Название: Mathematical Physics in Theoretical Chemistry ISBN: 0128136510 ISBN-13(EAN): 9780128136515 Издательство: Elsevier Science Рейтинг: Цена: 176290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The field of theoretical and computational chemistry is rapidly evolving as new algorithms and techniques are developed. Mathematical Physics in Theoretical Chemistry deals with the important topics in theoretical and computational chemistry, presenting them in a unified and efficient mannaer. Topics covered include density functional theory, computational methods in biological chemistry, and Hartree-Fock methods.
Mathematical Physics in Theoretical Chemistry is the second volume in the Developments in Physical & Theoretical Chemistry series. Each volume in the series contains highlights of the major advances and developments in research and serves as a basis for advanced study. With a multi-disciplinary and encompassing structure guided by a highly experienced editor, the series is designed to enable researchers in both academia and industry to efficiently keep abreast of developments in physical and theoretical chemistry.
Brings together in one volume the most important aspects of recent advances in theoretical and computational chemistry
Topics covered include computational methods for small molecules, density-functional methods, and computational chemistry on personal and quantum computers
Presents cutting-edge developments in theoretical and computational chemistry applicable to graduate students and research professionals in chemistry, physics, materials science, and biochemistry
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