Theory of Stochastic Processes: With Applications to Financial Mathematics and Risk Theory

Gusak, Dmytro/ Kukush, Alexander/ Kulik, Alexey/ Mishura, Yuliya/ Pilipenko, Andrey

ISBN 10: 1461425069 / ISBN 13: 9781461425069

Published by Springer Verlag, 2012

About this Item

388 pages. 9.25x6.10x0.88 inches. In Stock.

Seller Inventory # x-1461425069

Bibliographic Details

• Title: Theory of Stochastic Processes: With Applications to Financial Mathematics and Risk Theory
• Publisher: Springer Verlag
• Publication Date: 2012
• Language: English
• ISBN 10: 1461425069
• ISBN 13: 9781461425069
• Binding: Paperback
• Condition: Brand New
• Weight: 0.59 kilograms

About this title

Synopsis

Providing the necessary materials within a theoretical framework, this volume presents stochastic principles and processes, and related areas. Over 1000 exercises illustrate the concepts discussed, including modern approaches to sample paths and optimal stopping.

From the Back Cover

This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory.

 

The aim of this book is to provide the reader with the theoretical and practical material necessary for deeper understanding of the main topics in the theory of stochastic processes and its related fields.

 

The book is divided into chapters according to the various topics. Each chapter contains problems, hints, solutions, as well as a self-contained theoretical part which gives all the necessary material for solving the problems. References to the literature are also given.

 

The exercises have various levels of complexity and vary from simple ones, useful for students studying basic notions and technique, to very advanced ones that reveal some important theoretical facts and constructions.

 

This book is one of the largest collections of problems in the theory of stochastic processes and its applications. The problems in this book can be useful for undergraduate and graduate students, as well as for specialists in the theory of stochastic processes.