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Stochastic Analysis of Biochemical Systems
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Catalogue Information
Field name
Details
Dewey Class
570.285
Title
Stochastic Analysis of Biochemical Systems ([EBook]) / by David F. Anderson, Thomas G. Kurtz.
Author
Anderson, David F.
Added Personal Name
Kurtz, Thomas G.
author.
Other name(s)
SpringerLink (Online service)
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2015.
Physical Details
X, 84 p. 4 illus. : online resource.
Series
Mathematical Biosciences Institute Lecture Series
; 1.2
ISBN
9783319168951
Summary Note
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. .:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-319-16895-1
Links to Related Works
Subject References:
Biomathematics
.
Mathematical and Computational Biology
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Mathematical Modeling and Industrial Mathematics
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Mathematical models
.
Mathematics
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Probabilities
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Probability theory and stochastic processes
.
Authors:
Anderson, David F.
.
Kurtz, Thomas G.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Mathematical Biosciences Institute Lecture Series
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Classification:
570.285
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