Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
eBook - ePub

Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

About this book

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, Itô 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.

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Information

Publisher
Wiley
Year
2019
Print ISBN
9781119166061
Edition
1
eBook ISBN
9781119166085

Table of contents

  1. Cover
  2. Table of Contents
  3. Preface
  4. About the companion website
  5. 1 Introduction
  6. 2 Revision of probability and stochastic processes
  7. 3 An informal introduction to stochastic differential equations
  8. 4 The Wiener process
  9. 5 Diffusion processes
  10. 6 Stochastic integrals
  11. 7 Stochastic differential equations
  12. 8 Study of geometric Brownian motion (the stochastic Malthusian model or Black–Scholes model)
  13. 9 The issue of the Itô and Stratonovich calculi
  14. 10 Study of some functionals
  15. 11 Introduction to the study of unidimensional Itô diffusions
  16. 12 Some biological and financial applications
  17. 13 Girsanov's theorem
  18. 14 Options and the Black–Scholes formula
  19. 15 Synthesis
  20. References
  21. Index
  22. End User License Agreement

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Yes, you can access Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance by Carlos A. Braumann in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.