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Introduction to Stochastic Processes with Applications to Bi, Allen Linda



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Цена: 6582р.
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Склад Англия: 599 шт.  Склад Америка: 137 шт.  
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Автор: Allen Linda
Название:  Introduction to Stochastic Processes with Applications to Bi
Издательство: Taylor&Francis
Классификация:
Прикладная математика
Биология и естественные науки

ISBN: 1439818827
ISBN-13(EAN): 9781439818824
ISBN: 1-439-81882-7
ISBN-13(EAN): 978-1-439-81882-4
Обложка/Формат: Hardback
Страницы: 490
Вес: 0.856 кг.
Дата издания: 16.12.2010
Язык: English
Издание: 2 rev ed
Иллюстрации: 80 black & white illustrations, 22 black & white tables
Размер: 166 x 244 x 27
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Англии
Описание: Delineates stochastic processes, emphasizing applications in biology. This book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a chapter on the biological applications of stochastic differential equations.



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: 7836 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides an introduction to probability theory and its applications.

Introduction to Stochastic Integration

Автор: Kuo
Название: Introduction to Stochastic Integration
ISBN: 0387287205 ISBN-13(EAN): 9780387287201
Издательство: Springer
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Цена: 5224 р.
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Описание: The theory of stochastic integration, also called the Ito calculus, has a large spectrum of applications in virtually every scientific area involving random functions, but it can be a very difficult subject for people without much mathematical background. The Ito calculus was originally motivated by the construction of Markov diffusion processes from infinitesimal generators. Previously, the construction of such processes required several steps, whereas Ito constructed these diffusion processes directly in a single step as the solutions of stochastic integral equations associated with the infinitesimal generators. Moreover, the properties of these diffusion processes can be derived from the stochastic integral equations and the Ito formula. This introductory textbook on stochastic integration provides a concise introduction to the Ito calculus, and covers the following topics:* Constructions of Brownian motion;* Stochastic integrals for Brownian motion and martingales;* The Ito formula;* Multiple Wiener-Ito integrals;* Stochastic differential equations;* Applications to finance, filtering theory, and electric circuits.The reader should have a background in advanced calculus and elementary probability theory, as well as a basic knowledge of measure theory and Hilbert spaces. Each chapter ends with a variety of exercises designed to help the reader further understand the material.Hui-Hsiung Kuo is the Nicholson Professor of Mathematics at Louisiana State University. He has delivered lectures on stochastic integration at Louisiana State University, Cheng Kung University, Meijo University, and University of Rome "Tor Vergata," among others. He is also the author of Gaussian Measures in Banach Spaces (Springer 1975), and White Noise Distribution Theory (CRC Press 1996), and a memoir of his childhood growing up in Taiwan, An Arrow Shot into the Sun (Abridge Books 2004).

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 6901 р.
Наличие на складе: Есть (1 шт.)
Описание: This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.

Stochastic processes

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Eurospan
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Цена: 7874 р.
Наличие на складе: Нет в наличии.

Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
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Цена: 9585 р.
Наличие на складе: Невозможна поставка.

Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.

Introduction to Stochastic Calculus with Applications

Автор: Klebaner Fima C
Название: Introduction to Stochastic Calculus with Applications
ISBN: 1848168322 ISBN-13(EAN): 9781848168329
Издательство: World Scientific Publishing
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Цена: 5522 р.
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Описание: This book presents a concise and rigorous treatment of stochastic calculus. It also gives its main applications in finance, biology and engineering. In finance, the stochastic calculus is applied to pricing options by no arbitrage. In biology, it is applied to populations' models, and in engineering it is applied to filter signal from noise. Not everything is proved, but enough proofs are given to make it a mathematically rigorous exposition.This book aims to present the theory of stochastic calculus and its applications to an audience which possesses only a basic knowledge of calculus and probability. It may be used as a textbook by graduate and advanced undergraduate students in stochastic processes, financial mathematics and engineering. It is also suitable for researchers to gain working knowledge of the subject. It contains many solved examples and exercises making it suitable for self study.In the book many of the concepts are introduced through worked-out examples, eventually leading to a complete, rigorous statement of the general result, and either a complete proof, a partial proof or a reference. Using such structure, the text will provide a mathematically literate reader with rapid introduction to the subject and its advanced applications. The book covers models in mathematical finance, biology and engineering. For mathematicians, this book can be used as a first text on stochastic calculus or as a companion to more rigorous texts by a way of examples and exercises.

Stochastic Differential Equations: An Introduction  with Applications in Population Dynamics Modeling

Автор: Panik
Название: Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling
ISBN: 1119377382 ISBN-13(EAN): 9781119377382
Издательство: Wiley
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Цена: 12359 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A beginner s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics.

Stochastic processes and applications to mathematical finance - proceedings of the 5th ritsumeikan international symposium

Название: Stochastic processes and applications to mathematical finance - proceedings of the 5th ritsumeikan international symposium
ISBN: 9812565191 ISBN-13(EAN): 9789812565198
Издательство: World Scientific Publishing
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Цена: 17141 р.
Наличие на складе: Поставка под заказ.

Stochastic processes and applications to mathematical finance - proceedings of the 6th ritsumeikan international conference

Название: Stochastic processes and applications to mathematical finance - proceedings of the 6th ritsumeikan international conference
ISBN: 9812704132 ISBN-13(EAN): 9789812704139
Издательство: World Scientific Publishing
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Цена: 17141 р.
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Описание: This volume contains the contributions to a conference that is among the most important meetings in financial mathematics. Serving as a bridge between probabilists in Japan (called the Ito School and known for its highly sophisticated mathematics) and mathematical finance and financial engineering, the conference elicits the very highest quality papers in the field of financial mathematics.

Stochastic processes: basic theory and its applications

Название: Stochastic processes: basic theory and its applications
ISBN: 9812706267 ISBN-13(EAN): 9789812706263
Издательство: World Scientific Publishing
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Цена: 9433 р.
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Описание: Most introductory textbooks on stochastic processes which cover standard topics such as Poisson process, Brownian motion, renewal theory and random walks deal inadequately with their applications. Written in a simple and accessible manner, this book addresses that inadequacy and provides guidelines and tools to study the applications. The coverage includes research developments in Markov property, martingales, regenerative phenomena and Tauberian theorems, and covers measure theory at an elementary level.

Stochastic processes with applications

Автор: Bhattacharya, Rabi N. Waymire, Edward C.
Название: Stochastic processes with applications
ISBN: 0898716896 ISBN-13(EAN): 9780898716894
Издательство: Eurospan
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Цена: 10941 р.
Наличие на складе: Нет в наличии.

Описание: This book develops systematically and rigorously, yet in an expository and lively manner, the evolution of general random processes and their large time properties such as transience, recurrence, and convergence to steady states. The emphasis is on the most important classes of these processes from the viewpoint of theory as well as applications, namely, Markov processes. The book features very broad coverage of the most applicable aspects of stochastic processes, including sufficient material for self-contained courses on random walks in one and multiple dimensions; Markov chains in discrete and continuous times, including birth-death processes; Brownian motion and diffusions; stochastic optimization; and stochastic differential equations. This book is for graduate students in mathematics, statistics, science and engineering, and it may also be used as a reference by professionals in diverse fields whose work involves the application of probability.

An Introduction to Continuous-Time Stochastic Processes

Автор: Capasso
Название: An Introduction to Continuous-Time Stochastic Processes
ISBN: 0817683453 ISBN-13(EAN): 9780817683450
Издательство: Springer
Цена: 9922 р.
Наличие на складе: Поставка под заказ.

Описание: Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required.


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