Approximations of Cumulants of the Stochastic Power Law Logistic Model

Abstract

Asymptotic approximations of the first three cumulants of the quasi-stationary distribution of the stochastic power law logistic model are derived. The results are based on a system of ODEs for the first three cumulants. We deviate from the classical moment closure approach by determining approximations without closing the system of equations. The approximations are explicit in the model's parameters, conditions for validity of the approximations are given, magnitudes of approximation errors are known, and spurious solutions are easily detected and eliminated. In these ways, we provide improvements on previous results for this model.