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[Télécharger] Elementary Stochastic Calculus With Finance in View de Thomas Mikosch Livres Pdf Epub

Télécharger Elementary Stochastic Calculus With Finance in View de Thomas Mikosch Livres Pdf Epub

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Auteur : Thomas Mikosch
Catégorie : Livres anglais et étrangers,Science,Mathematics
Broché : * pages
Éditeur : *
Langue : Français, Anglais


Modelling with the Itô integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory.This book is suitable for the reader without a deep mathematical background. It gives an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived. The book can serve as a text for a course on stochastic calculus for non-mathematicians or as elementary reading material for anyone who wants to learn about Itô calculus and/or stochastic finance.

Télécharger Elementary Stochastic Calculus With Finance in View de Thomas Mikosch Pdf Ebook


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Elementary Stochastic Calculus, with Finance in View ~ Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived. The book can serve as a text for a course on stochastic calculus for non-mathematicians or as elementary reading material for anyone who wants to learn about Itô calculus and/or stochastic finance. Sample Chapter(s)

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Elementary Stochastic Calculus With Finance in View (豆瓣) ~ Elementary Stochastic Calculus With Finance in View的书评 · · · · · · ( 全部 3 条) 热门 / 最新 / 好友 / 只看本版本的评论 五岳真形 2015-06-18 14:03:25

ELEMENTARY STOCHASTIC CALCULUS - GBV ~ ELEMENTARY STOCHASTIC CALCULUS with Finance in View Thomas Mikosch Department of Mathematics University ofGroningen The Netherlands World Scientific Singapore • New Jersey London • Hong Kong. Contents Reader Guidelines 1 1 Preliminaries 5 1.1 Basic Concepts from Probability Theory 6 1.1.1 Random Variables 6 1.1.2 Random Vectors 14 1.1.3 Independence and Dependence 19 1.2 Stochastic .

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