Parallel Computing in Bayesian Inference
{'Code': '03040109', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Alvin I. Thaler', 'PO_EMAI': None, 'PO_PHON': None}
This research is designed to integrate Bayesian statistical                inference and decision theory with modern computational and                     numerical methods.  The core of the research program is the                     adaptation of methods for parallel/distributed  processing of                   computation to problems in Bayesian statistics and decision                     theory.  The research will have three principle directions:  1)                 theoretical development of the Bayesian methodology, 2)  research               into parallel/distributed computing algorithms, and 3)                          applications of numerical techniques to Bayesian problems.  The                 methods, algorithms, and software to be developed for                           parallel/distributed processing will be important in a wide                     variety of theoretical and practical Bayesian problems.  Areas of               application will include hierarchical Bayesian modeling,                        sensitivity and robustness, sequential analysis  with                           application in sequential process control, Bayesian methods for                 image reconstruction, and Bayesian inference for neural networks.
[{'FirstName': 'William', 'LastName': 'Eddy', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William F Eddy', 'EmailAddress': 'bill@stat.cmu.edu', 'NSF_ID': '000092521', 'StartDate': '08/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Mark', 'LastName': 'Schervish', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mark J Schervish', 'EmailAddress': 'mark@stat.cmu.edu', 'NSF_ID': '000321165', 'StartDate': '08/01/1988', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]
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