This research involves several problems in the study of stochastic measure-valued processes, processes which model the spatial distribution and time development of a large population. The problems are concerned with the general formulation of these processes and with their connection, via de Finetti's theorem, with exchangeable systems of interacting particles. This research studies processes which arise in population genetics. In particular, the work involves studying generalizations of the specific models used in population genetics and identifying their connections to interacting particles systems.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
9307706
Program Officer
Keith Crank
Project Start
Project End
Budget Start
1993-06-15
Budget End
1996-11-30
Support Year
Fiscal Year
1993
Total Cost
$87,000
Indirect Cost
Name
Ohio State University
Department
Type
DUNS #
City
Columbus
State
OH
Country
United States
Zip Code
43210