LEADER 02357nam0 2200445 i 450 001 SUN0113458 005 20180112022429.248 010 $d0.00 017 70$2N$a978-3-319-16895-1 100 $a20180110d2015 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Stochastic analysis of biochemical systems$fDavid F. Anderson, Thomas G. Kurtz 205 $a[Cham] : Springer : Mathematical Biosciences Institute, 2015 210 $aX$d84 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0113406$12001 $a*Stochastics in Biological Systems$v1.2$1210 $aCham$cSpringer. 606 $a60G44$xMartingales with continuous parameter [MSC 2020]$2MF$3SUNC020011 606 $a60J80$xBranching processes (Galton-Watson, birth-and-death, etc.) [MSC 2020]$2MF$3SUNC020096 606 $a65C05$xMonte Carlo methods [MSC 2020]$2MF$3SUNC020429 606 $a60J27$xContinuous-time Markov processes on discrete state spaces [MSC 2020]$2MF$3SUNC021553 606 $a60F05$xCentral limit and other weak theorems [MSC 2020]$2MF$3SUNC024652 606 $a60J28$xApplications of continuous-time Markov processes on discrete state spaces [MSC 2020]$2MF$3SUNC028388 606 $a92C42$xSystems biology, networks [MSC 2020]$2MF$3SUNC029020 606 $a92C40$xBiochemistry, molecular biology [MSC 2020]$2MF$3SUNC031248 606 $a80A30$xChemical kinetics in thermodynamics and heat transfer [MSC 2020]$2MF$3SUNC031249 606 $a65C20$xProbabilistic models, generic numerical methods in probability and statistics [MSC 2020]$2MF$3SUNC031449 606 $a60F17$xFunctional limit theorems; invariance principles [MSC 2020]$2MF$3SUNC033628 620 $aCH$dCham$3SUNL001889 700 1$aAnderson$b, David F.$3SUNV087573$061261 701 1$aKurtz$b, Thomas G.$3SUNV087574$0300264 712 $aSpringer$3SUNV000178$4650 712 $aMathematical Biosciences Institute$3SUNV010127$4650 801 $aIT$bSOL$c20210503$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-16895-1 912 $aSUN0113458 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0448 $e08eMF448 20180110 996 $aStochastic analysis of biochemical systems$91522613 997 $aUNICAMPANIA