Mathematical Sciences: Some Aspects of Markov Processes in  Population Genetics
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Peter Arzberger', 'PO_EMAI': None, 'PO_PHON': None}
This research will study stochastic models in mathematical                 population genetics.  The first set of problems concerns measure-               valued diffusion processes that generalize the usual K-allele                   diffusion model of population genetics.  The investigator will                  study the ergodicity of the selective infinitely-many-alleles                   model, properties of the two-locus model, and existence of the                  infinitely-many-sites model with recombination.                                      The second set of problems relates to Gaussian diffusion                   approximations of genetic models with two time scales, and                      convergence of an ancestral Markov chain related to the                         coalescent.
{'FirstName': 'Stewart', 'LastName': 'Ethier', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stewart N Ethier', 'EmailAddress': 'ethier@math.utah.edu', 'NSF_ID': '000335083', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Utah', 'CityName': 'SALT LAKE CITY', 'ZipCode': '841129049', 'PhoneNumber': '8015816903', 'StreetAddress': '201 PRESIDENTS CIR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Utah', 'StateCode': 'UT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'UT01', 'ORG_UEI_NUM': 'LL8GLEVH6MG3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF UTAH', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1127', 'Text': 'Evolutionary Processes'}, {'Code': '1263', 'Text': 'PROBABILITY'}]
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