Stochastic Analysis of Biochemical Systems

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 man...

Full description

Saved in:
Bibliographic Details
Main Authors: Anderson, David F. (Author, http://id.loc.gov/vocabulary/relators/aut), Kurtz, Thomas G. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Stochastics in Biological Systems, 1.2
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-16895-1
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 03412nam a22005175i 4500
001 978-3-319-16895-1
003 DE-He213
005 20200701002722.0
007 cr nn 008mamaa
008 150423s2015 gw | s |||| 0|eng d
020 |a 9783319168951  |9 978-3-319-16895-1 
024 7 |a 10.1007/978-3-319-16895-1  |2 doi 
050 4 |a QH323.5 
050 4 |a QH324.2-324.25 
072 7 |a PDE  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
072 7 |a PDE  |2 thema 
082 0 4 |a 570.285  |2 23 
100 1 |a Anderson, David F.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Stochastic Analysis of Biochemical Systems  |h [electronic resource] /  |c by David F. Anderson, Thomas G. Kurtz. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a X, 84 p. 4 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Stochastics in Biological Systems,  |x 2364-2297 ;  |v 1.2 
520 |a 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. . 
650 0 |a Biomathematics. 
650 0 |a Probabilities. 
650 0 |a Mathematical models. 
650 1 4 |a Mathematical and Computational Biology.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/M31000 
650 2 4 |a Probability Theory and Stochastic Processes.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004 
650 2 4 |a Mathematical Modeling and Industrial Mathematics.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/M14068 
700 1 |a Kurtz, Thomas G.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319168968 
776 0 8 |i Printed edition:  |z 9783319168944 
830 0 |a Stochastics in Biological Systems,  |x 2364-2297 ;  |v 1.2 
856 4 0 |u https://doi.org/10.1007/978-3-319-16895-1 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)