Mathematical Sciences: Empirical Bayes Approaches to        Multiparameter Estimation
{'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}
This research will contribute to methodology for                        constructing empirical Bayes confidence intervals and hypothesis                tests, and will provide theory and/or simulation to validate                    these statistics.  The investigators propose to expand current                  technology to include non-Gaussian distributions and vector                     parameters.                                                                             A common feature of many empirical experiments is the desire            to draw conclusions about a series of similar parameters.  The                  statistical approach known as Empirical Bayes has proved useful                 in this setting.  The proposal is to view each item to be                       estimated as part of an ensemble, thereby achieving considerable                gains for the set.  Current methods are applicable to very                      special types of data, i.e. data that is distributed in the shape               of a bell (Gaussian).  Developing the Empirical Bayes approach                  for a variety of types of data will increase the information                    scientists can obtain from their experiments.
{'FirstName': 'Nan', 'LastName': 'Laird', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nan M Laird', 'EmailAddress': '6177321056', 'NSF_ID': '000266587', 'StartDate': '07/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'ZipCode': '021385366', 'PhoneNumber': '6174955501', 'StreetAddress': '1033 MASSACHUSETTS AVE STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MA05', 'ORG_UEI_NUM': 'LN53LCFJFL45', 'ORG_LGL_BUS_NAME': 'PRESIDENT AND FELLOWS OF HARVARD COLLEGE', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1269', 'Text': 'STATISTICS'}
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