Amei
Department
of Mathematics,
Title : A Time-Dependent Poisson Random Field Model for polymorphism within and between two related species
Abstract : Characterizing the various forces that shape patterns of genetic polymorphism within and between species is the central goal of population genetics. Statistical inference using Poisson random field models of Sawyer and Hartl (1992) provides powerful likelihood and Bayesian methods for estimating some of these forces, such as mutation and selection. In this talk, I will derive a time-dependent Poisson random field model for fixed difference between and polymorphisms for two related species. The model contains the effect of ancestral polymorphism explicitly. I will also derive the corresponding sample configuration formulas.