Mathematical Sciences: Prediction Theory, Asymptotic        Distributions of Eigenvalues, Confidence Set Validity
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
The research project consists of three problems.  The first                deals with prediction theory and improper priors.  The goal is to               find usable inferential procedures starting from improper priors,               which will have certain optimal properties.  The second problem                 will find asymptotic distribution of eigenvalues of random                      symmetric matrices.  The third problem is that of construction of               confidence intervals for linear functions of regression                         parameters.  Such confidence intervals are found by asymptotic                  arguments and hence computable tight upper and lower bounds are                 hard to find.  The principal investigator will develop such                     bounds.
{'FirstName': 'Morris', 'LastName': 'Eaton', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Morris L Eaton', 'EmailAddress': 'eaton002@umn.edu', 'NSF_ID': '000429952', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1269', 'Text': 'STATISTICS'}
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