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100   $a20150423d2015      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aStochastic Analysis of Biochemical Systems /$fby David F. Anderson, Thomas G. Kurtz
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (X, 84 p. 4 illus.) 
225 1 $aStochastics in Biological Systems,$x2364-2297 ;$v1.2
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-16894-0 
320   $aIncludes bibliographical references and index.
330   $aThis book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology.  The book should serve well as a supplement for courses in probability and stochastic processes.  While the material is presented in a manner most suitable for students who have studied stochastic processes up to and including martingales in continuous time, much of the necessary background material is summarized in the Appendix. Students and Researchers with a solid understanding of calculus, differential equations, and elementary probability and who are well-motivated by the applications will find this book of interest.    David F. Anderson is Associate Professor in the Department of Mathematics at the University of Wisconsin and Thomas G. Kurtz is Emeritus Professor in the Departments of Mathematics and Statistics at that university. Their research is focused on probability and stochastic processes with applications in biology and other areas of science and technology.   These notes are based in part on lectures given by Professor Anderson at the University of Wisconsin ? Madison and by Professor Kurtz at Goethe University Frankfurt. .
410  0$aStochastics in Biological Systems,$x2364-2297 ;$v1.2
606   $aBiomathematics
606   $aProbabilities
606   $aMathematical models
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068
615  0$aBiomathematics.
615  0$aProbabilities.
615  0$aMathematical models.
615 14$aMathematical and Computational Biology.
615 24$aProbability Theory and Stochastic Processes.
615 24$aMathematical Modeling and Industrial Mathematics.
676   $a519.22
700   $aAnderson$b David F$4aut$4http://id.loc.gov/vocabulary/relators/aut$061261
702   $aKurtz$b Thomas G$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299769303321
996   $aStochastic Analysis of Biochemical Systems$92543289
997   $aUNINA