AbstractWe prove that the sequence of stochastic processes obtained from Wright-Fisher models by transforming the time scales and state spaces in the usual way converges weakly to a diffusion process on the time interval [0,∞). Convergence of fixation probabilities and fixation time distributions are obtained as corollaries. These results extend a theorem of Watterson, who proved convergence in distribution to a diffusion at any given single time point for these processes
Some optimal inference results for a class of diffusion processes, including the continuous state br...
110.174/2009. We thank the careful reading and comments of three anonymous referees.We study a class...
We consider a one-dimensional diffusion process conditioned by hitting times. We call this process a...
AbstractWe prove that the sequence of stochastic processes obtained from Wright-Fisher models by tra...
AbstractStochastic models for gene frequencies can be viewed as probability-measure-valued processes...
AbstractWe prove an extended version of the scaling theorem for interacting Fleming—Viot processes, ...
The Moran discrete process and the Wright-Fisher modelare the most popular models in population gene...
In this thesis we consider theoretical and practical aspects of conducting inference on data coming ...
24 pagesWe consider a Wright-Fisher diffusion (x(t)) whose current state cannot be observed directly...
Diffusion theory is a central tool of modern population genetics, yielding simple expressions for fi...
The Wright-Fisher model is the most popular population model for describing the behaviour of evoluti...
A number of discrete time, finite population size models in genetics describing the dynamics of alle...
Our motivation comes from the large population approximation of individual based models in populatio...
We provide general conditions under which a class of discrete-time volatility models driven by the s...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
Some optimal inference results for a class of diffusion processes, including the continuous state br...
110.174/2009. We thank the careful reading and comments of three anonymous referees.We study a class...
We consider a one-dimensional diffusion process conditioned by hitting times. We call this process a...
AbstractWe prove that the sequence of stochastic processes obtained from Wright-Fisher models by tra...
AbstractStochastic models for gene frequencies can be viewed as probability-measure-valued processes...
AbstractWe prove an extended version of the scaling theorem for interacting Fleming—Viot processes, ...
The Moran discrete process and the Wright-Fisher modelare the most popular models in population gene...
In this thesis we consider theoretical and practical aspects of conducting inference on data coming ...
24 pagesWe consider a Wright-Fisher diffusion (x(t)) whose current state cannot be observed directly...
Diffusion theory is a central tool of modern population genetics, yielding simple expressions for fi...
The Wright-Fisher model is the most popular population model for describing the behaviour of evoluti...
A number of discrete time, finite population size models in genetics describing the dynamics of alle...
Our motivation comes from the large population approximation of individual based models in populatio...
We provide general conditions under which a class of discrete-time volatility models driven by the s...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
Some optimal inference results for a class of diffusion processes, including the continuous state br...
110.174/2009. We thank the careful reading and comments of three anonymous referees.We study a class...
We consider a one-dimensional diffusion process conditioned by hitting times. We call this process a...