By means of a representation as interactive particle systems, dual processes are constructed for a large class of exchangeable models in population genetics. It is shown that as the population size becomes large these dual processes tend in distribution to a particularly tractable limiting dual process. Properties of the models are analyzed using the duality relationship and approximate expressions are obtained for various quantities. Diffusion approximations follow easily from the invariance result
The diffusion-generator approximation technique developed by De Iorio and Griffiths (2004a) is a ver...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...
Models of populations in which a type or location, represented by a point in a metric space E, is as...
Mathematical models of genetic evolution often come in pairs, connected by a so-called duality relat...
We apply our general method of duality, introduced in [15], to models of population dynamics. The c...
A systematic study of population processes subsuming the Wright-Fisher model in classical population...
A systematic study of population processes subsuming the Wright-Fisher model in classical population...
We consider a one-dimensional diffusion process conditioned by hitting times. We call this process a...
A two-types, discrete-time population model with finite, constant size is constructed, allowing for ...
Widely used models in genetics include the Wright-Fisher diffusion and its moment dual, Kingman's co...
A class of measure-valued processes which model multilevel multitype populations undergoing mutation...
This research proposal is about stochastic processes in interacting particle systems. In a time span...
Using duality, an expansion is found for the transition function of the reversible K-allele diffusio...
The diffusion-generator approximation technique developed by De Iorio and Griffiths (2004a) is a ver...
The diffusion-generator approximation technique developed by De Iorio and Griffiths (2004a) is a ver...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...
Models of populations in which a type or location, represented by a point in a metric space E, is as...
Mathematical models of genetic evolution often come in pairs, connected by a so-called duality relat...
We apply our general method of duality, introduced in [15], to models of population dynamics. The c...
A systematic study of population processes subsuming the Wright-Fisher model in classical population...
A systematic study of population processes subsuming the Wright-Fisher model in classical population...
We consider a one-dimensional diffusion process conditioned by hitting times. We call this process a...
A two-types, discrete-time population model with finite, constant size is constructed, allowing for ...
Widely used models in genetics include the Wright-Fisher diffusion and its moment dual, Kingman's co...
A class of measure-valued processes which model multilevel multitype populations undergoing mutation...
This research proposal is about stochastic processes in interacting particle systems. In a time span...
Using duality, an expansion is found for the transition function of the reversible K-allele diffusio...
The diffusion-generator approximation technique developed by De Iorio and Griffiths (2004a) is a ver...
The diffusion-generator approximation technique developed by De Iorio and Griffiths (2004a) is a ver...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...
We study three classes of continuous time Markov processes (inclusion process, exclusion process, in...