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  • Textbook
  • © 2015

Stochastic Analysis of Biochemical Systems

  • Part of the Mathematical Biosciences Institute Graduate Lecture series
  • Top international authors in area of stochastic processes in biology
  • Used for students and researchers working at intersection of mathematics and biology
  • Includes supplementary material: sn.pub/extras

Part of the book series: Mathematical Biosciences Institute Lecture Series (MBILS, volume 1.2)

Part of the book sub series: Stochastics in Biological Systems (STOCHBS)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-x
  2. Infinitesimal specification of continuous time Markov chains

    • David F. Anderson, Thomas G. Kurtz
    Pages 1-17
  3. Models of biochemical reaction systems

    • David F. Anderson, Thomas G. Kurtz
    Pages 19-31
  4. Stationary distributions of stochastically modeled reaction systems

    • David F. Anderson, Thomas G. Kurtz
    Pages 33-41
  5. Analytic approaches to model simplification and approximation

    • David F. Anderson, Thomas G. Kurtz
    Pages 43-53
  6. Numerical methods

    • David F. Anderson, Thomas G. Kurtz
    Pages 55-68
  7. Erratum to: Models of biochemical reaction systems

    • David F. Anderson, Thomas G. Kurtz
    Pages E1-E1
  8. Back Matter

    Pages 69-84

About this book

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology. The book should serve well as a supplement for courses in probability and stochastic processes. While the material is presented in a manner most suitable for students who have studied stochastic processes up to and including martingales in continuous time, much of the necessary background material is summarized in the Appendix. Students and Researchers with a solid understanding of calculus, differential equations and elementary probability and who are well-motivated by the applications will find this book of interest.

David F. Anderson is Associate Professor in the Department of Mathematics at the University of Wisconsin and Thomas G. Kurtz is Emeritus Professor in the Departments of Mathematics and Statistics at that university. Their research is focused on probability and stochastic processes with applications in biology and other areas of science and technology.

These notes are based in part on lectures given by Professor Anderson at the University of Wisconsin – Madison and by Professor Kurtz at Goethe University Frankfurt. 

Reviews

“For the reader's convenience, the book contains an appendix summarizing the necessary backgrounds on probability theory and stochastic processes. The authors manage to present the materials with clarity, brevity and style. In particular, the carefully chosen examples on the one hand help to illustrate the insights and results, and on the other hand make the book more readable. … The book provides nice supplementary material for courses in probability and stochastic processes.” (Chao Zhu, Mathematical Reviews, March, 2016)

Authors and Affiliations

  • Department of Mathematics, University of Wisconsin, Madison, Madison, USA

    David F. Anderson

  • Departments of Mathematics and Statistics, University of Wisconsin, Madison, USA

    Thomas G. Kurtz

About the authors

David F. Anderson and Thomas G. Kurtz are Professors in the Department of Mathematics and Statistics at the University of Wisconsin Madison.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access