On the study of two interacting populations one of which acts independently of the other

Abstract

Many ecological and biological systems can be studied in terms of a bivariate stochastic branching process, { X 1 ( t ), X 2 ( t )}, each of whose components (or populations) varies in magnitude according to the laws of a generalized birth-death process. Of particular interest is such a model in which the birth and death rates of the first population, X 1 , are constant while those of the second population, X 2 , exhibit a functional dependence upon the magnitude of the first. It is shown, first, that the existence of the stochastic mean of a birth death process implies the existence of all higher moments. The values of all the factorial moments of such a process are then determined. The moments of the dependent population of the bivariate process are given in terms of its expectation and the joint probability density function of the process is determined. It is possible, therefore, to use Bayesian techniques to infer conclusions about the independent population, given information about the variation of the dependent one.