Mathematical Sciences: Stochastic Models in Population      Genetics and Molecular Evolution
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{'SignBlockName': 'Peter Arzberger', 'PO_EMAI': None, 'PO_PHON': None}
The principal investigator, along with Dr. Donnelley from                  England, will continue the research in mathematical models in                   molecular evolution and population biology.  The particular                     problems are quite diverse and build on the results previously                  obtained by their collaboration.  A more powerful statistical                   test for neutrality will be designed assuming that the age-                     ordering of the alleles in the sample is known.  Asymptotic                     theory will show that the weak limit for the age-ordered allele                 frequencies of a range of exchangeable models lead to the GEM                   distribution.  The canonical representation of the genealogical                 urn model will be used to provide more detailed description of                  the evolution of the population.  Distribution of the segregating               sites in a sample from a stationary population of an infinitely-                many sites model will be found.  New statistical methods will be                developed for the analyses of substitution rates and divergence                 times in pairs of homologous sequences.
{'FirstName': 'Simon', 'LastName': 'Tavare', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Simon Tavare', 'EmailAddress': 'stavare@usc.edu', 'NSF_ID': '000178985', 'StartDate': '07/01/1988', '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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