Coupling and ergodic theorems for Fleming-Viot processes
成果类型:
Article
署名作者:
Ethier, SN; Kurtz, TG
署名单位:
Utah System of Higher Education; University of Utah; University of Wisconsin System; University of Wisconsin Madison
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
发表日期:
1998
页码:
533-561
关键词:
measure-valued diffusion
recurrent markov-chains
MODEL
摘要:
Fleming-Viot processes are probability-measure-valued diffusion processes that can be used as stochastic models in population genetics. Here we use duality methods to prove ergodic theorems for Fleming-Viot processes, including those with recombination. Coupling methods are also used to establish ergodicity of Fleming-Viot processes, first without and then with selection. A special type of selection known as symmetric overdominance is treated by other methods.