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Introduction to stochastic different...

Braumann, Carlos A., (1951-)

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Introduction to stochastic differential equations with applications to modelling in biology and finance

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to stochastic differential equations with applications to modelling in biology and finance/ Carlos A. Braumann.
remainder title:	Stochastic differential equations with applications to modelling in biology and finance
Author:	Braumann, Carlos A.,
Published:	Hoboken, NJ :John Wiley & Sons, : 2019.,
Description:	1 online resource.
Subject:	Stochastic differential equations. -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119166092
ISBN:	9781119166092

Introduction to stochastic differential equations with applications to modelling in biology and finance
Braumann, Carlos A.,1951-

Introduction to stochastic differential equations with applications to modelling in biology and finance[electronic resource] /Stochastic differential equations with applications to modelling in biology and financeCarlos A. Braumann. - 1st ed. - Hoboken, NJ :John Wiley & Sons,2019. - 1 online resource.

Includes bibliographical references and index.

A comprehensive introduction to the core issues of stochastic differential equations and their effective application. Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author - a noted expert in the field - includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these and many other areas of science and technology. The text also features real-life situations with experimental data, thus covering topics such as Monte Carlo simulation and statistical issues of estimation, model choice and prediction. The book includes the basic theory of option pricing and its effective application using real-life. The important issue of which stochastic calculus, Ito or Stratonovich, should be used in applications is dealt with and the associated controversy resolved. Written to be accessible for both mathematically advanced readers and those with a basic understanding, the text offers a wealth of exercises and examples of application. This important volume: -Contains a complete introduction to the basic issues of stochastic differential equations and their effective application -Includes many examples in modelling, mainly from the biology and finance fields -Shows how to: Translate the physical dynamical phenomenon to mathematical models and back, apply with real data, use the models to study different scenarios and understand the effect of human interventions -Conveys the intuition behind the theoretical concepts -Presents exercises that are designed to enhance understanding -Offers a supporting website that features solutions to exercises and R code for algorithm implementation Written for use by graduate students, from the areas of application or from mathematics and statistics, as well as academics and professionals wishing to study or to apply these models, Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance is the authoritative guide to understanding the issues of stochastic differential equations and their application.

ISBN: 9781119166092Subjects--Topical Terms:

621860
Stochastic differential equations.

LC Class. No.: QA274.23 / .B73 2019

Dewey Class. No.: 519.2/2

Introduction to stochastic differential equations with applications to modelling in biology and finance
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005 20190614052526.5
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020 $a 9781119166092 $q (electronic bk.)
020 $a 9781119166078 $q (electronic bk.)
020 $a 9781119166085 $q (electronic bk.)
020 $z 9781119166061 $q (hbk.)
035 $a 1083178902
040 $a DLC $b eng $c DLC $d N $d EBLCP $d OCLCF $d RECBK $d YDX $d DG1
050 1 4 $a QA274.23 $b .B73 2019
082 0 0 $a 519.2/2 $2 23
100 1 $a Braumann, Carlos A., $d 1951- $3 3512893
245 1 0 $a Introduction to stochastic differential equations with applications to modelling in biology and finance $h [electronic resource] / $c Carlos A. Braumann.
246 3 0 $a Stochastic differential equations with applications to modelling in biology and finance
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2019.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a A comprehensive introduction to the core issues of stochastic differential equations and their effective application. Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author - a noted expert in the field - includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these and many other areas of science and technology. The text also features real-life situations with experimental data, thus covering topics such as Monte Carlo simulation and statistical issues of estimation, model choice and prediction. The book includes the basic theory of option pricing and its effective application using real-life. The important issue of which stochastic calculus, Ito or Stratonovich, should be used in applications is dealt with and the associated controversy resolved. Written to be accessible for both mathematically advanced readers and those with a basic understanding, the text offers a wealth of exercises and examples of application. This important volume: -Contains a complete introduction to the basic issues of stochastic differential equations and their effective application -Includes many examples in modelling, mainly from the biology and finance fields -Shows how to: Translate the physical dynamical phenomenon to mathematical models and back, apply with real data, use the models to study different scenarios and understand the effect of human interventions -Conveys the intuition behind the theoretical concepts -Presents exercises that are designed to enhance understanding -Offers a supporting website that features solutions to exercises and R code for algorithm implementation Written for use by graduate students, from the areas of application or from mathematics and statistics, as well as academics and professionals wishing to study or to apply these models, Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance is the authoritative guide to understanding the issues of stochastic differential equations and their application.
588 $a Description based on print version record.
650 0 $a Stochastic differential equations. $3 621860
650 0 $a Biology $x Mathematical models. $3 524939
650 0 $a Finance $x Mathematical models. $3 578740
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119166092