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Title: Elements of Bayesian experimental design

Conference ·
OSTI ID:569579
 [1]
  1. Rutherford Appleton Lab., Oxon (United Kingdom)

We consider some elements of the Bayesian approach that are important for optimal experimental design. While the underlying principles used are very general, and are explained in detail in a recent tutorial text, they are applied here to the specific case of characterising the inferential value of different resolution peakshapes. This particular issue was considered earlier by Silver, Sivia and Pynn (1989, 1990a, 1990b), and the following presentation confirms and extends the conclusions of their analysis.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
OSTI ID:
569579
Report Number(s):
LBNL-40816; CONF-9609353-; ON: DE98050032; TRN: 98:003949
Resource Relation:
Conference: Workshop on methods for neutron scattering instrumentation design, Berkeley, CA (United States), 23-25 Sep 1996; Other Information: PBD: Sep 1997; Related Information: Is Part Of Proceedings of a workshop on methods for neutron scattering instrumentation design; Hjelm, R.P. [ed.] [Los Alamos National Lab., NM (United States)]; PB: 150 p.
Country of Publication:
United States
Language:
English