作者：Madras, N; Piccioni, M
作者单位：York University - Canada; University of L'Aquila
摘要：This paper analyzes the performance of importance sampling distributions for computing expectations with respect to a whole family of probability laws in the context of Markov chain Monte Carlo simulation methods. Motivations for such a study arise in statistics as well as in statistical physics. Two choices of importance sampling distributions are considered in detail: mixtures of the distributions of interest and distributions that are uniform over energy levels (motivated by physical applic...
作者：Neuhauser, C; Pacala, SW
作者单位：University of Minnesota System; University of Minnesota Twin Cities; Princeton University
摘要：We consider a spatial stochastic version of the classical Lotka-Volterra model with interspecific competition. The classical model is described by a set of ordinary differential equations, one for each species. Mortality is density dependent, including both intraspecific and interspecific competition. Fecundity may depend on the type of species but is density independent. Depending on the relative strengths of interspecific and intraspecific competition and on the fecundities, the parameter sp...
