作者: Mats Gyllenberg , Dmitrii S. Silvestrov
DOI: 10.1007/BF00160173
关键词: Continuous-time Markov chain 、 Markov process 、 Markov chain mixing time 、 Markov chain 、 Mathematical optimization 、 Statistical physics 、 Mathematics 、 Variable-order Markov model 、 Markov property 、 Markov model 、 Discrete phase-type distribution
摘要: A stochastic metapopulation model which explicitly considers first order interactions between local populations is constructed. The takes the spatial arrangement of patches into account and keeps track are occupied empty. time-evolution meta-population governed by a Markov chain with finite state space. We give detailed description long term behaviour chain. Many interesting biological issues can be addressed using model. As an especially important example we discuss so-called core satellite species hypothesis in light