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XII Symposium of Probability and Stochastic Processes, Daniel Hern?ndez-Hern?ndez; Juan Carlos Pardo; Vic


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Автор: Daniel Hern?ndez-Hern?ndez; Juan Carlos Pardo; Vic
Название:  XII Symposium of Probability and Stochastic Processes
ISBN: 9783030085018
Издательство: Springer
Классификация:







ISBN-10: 3030085015
Обложка/Формат: Soft cover
Страницы: 234
Вес: 0.39 кг.
Дата издания: 2018
Серия: Progress in Probability
Язык: English
Издание: Softcover reprint of
Иллюстрации: 12 illustrations, color; 2 illustrations, black and white; xi, 234 p. 14 illus., 12 illus. in color.
Размер: 234 x 156 x 13
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Подзаголовок: Merida, Mexico, November 16–20, 2015
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume contains the proceedings of the XII Symposium of Probability and Stochastic Processes which took place at Universidad Autonoma de Yucatan in Merida, Mexico, on November 16–20, 2015. This meeting was the twelfth meeting in a series of ongoing biannual meetings aimed at showcasing the research of Mexican probabilists as well as promote new collaborations between the participants.The book features articles drawn from different research areas in probability and stochastic processes, such as: risk theory, limit theorems, stochastic partial differential equations, random trees, stochastic differential games, stochastic control, and coalescence. Two of the main manuscripts survey recent developments on stochastic control and scaling limits of Markov-branching trees, written by Kazutoshi Yamasaki and B?n?dicte Haas, respectively. The research-oriented manuscripts provide new advances in active research fields in Mexico.The wide selection of topics makes the book accessible to advanced graduate students and researchers in probability and stochastic processes.
Дополнительное описание: Scaling limits of Markov-Branching trees and applications.- Optimality of two-parameter strategies in stochastic control.- Asymptotic results for the severity and surplus before ruin for a class of L?vy insurance processes.- Characterization of the minima



Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Stochastic Differential Equations

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
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Цена: 8223.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.

Functional Analysis for Probability and Stochastic Processes: An Introduction

Автор: Adam Bobrowski
Название: Functional Analysis for Probability and Stochastic Processes: An Introduction
ISBN: 0521831660 ISBN-13(EAN): 9780521831666
Издательство: Cambridge Academ
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Цена: 23285.00 р.
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Описание: This text is designed both for students of probability and stochastic processes, and for students of functional analysis. Numerous standard and non-standard examples and exercises make it suitable for both a textbook for a course as well as for self-study.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Provides an introduction to probability theory and its applications.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

XII Symposium of Probability and Stochastic Processes

Автор: Hern?ndez-Hern?ndez
Название: XII Symposium of Probability and Stochastic Processes
ISBN: 3319776428 ISBN-13(EAN): 9783319776422
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book features articles drawn from different research areas in probability and stochastic processes, such as: risk theory, limit theorems, stochastic partial differential equations, random trees, stochastic differential games, stochastic control, and coalescence.

XI Symposium on Probability and Stochastic Processes

Автор: Rams?s H. Mena; Juan Carlos Pardo; V?ctor Rivero;
Название: XI Symposium on Probability and Stochastic Processes
ISBN: 3319139835 ISBN-13(EAN): 9783319139838
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume features a collection of contributed articles and lecture notes from the XI Symposium on Probability and Stochastic Processes, held at CIMAT Mexico in September 2013.

XI Symposium on Probability and Stochastic Processes

Автор: Rams?s H. Mena; Juan Carlos Pardo; V?ctor Rivero;
Название: XI Symposium on Probability and Stochastic Processes
ISBN: 3319357581 ISBN-13(EAN): 9783319357584
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This volume features a collection of contributed articles and lecture notes from the XI Symposium on Probability and Stochastic Processes, held at CIMAT Mexico in September 2013.

A Course in Probability Theory, Revised Edition,

Автор: Kai Lai Chung
Название: A Course in Probability Theory, Revised Edition,
ISBN: 0121741516 ISBN-13(EAN): 9780121741518
Издательство: Elsevier Science
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Цена: 12462.00 р.
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Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.


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