Center for Statistical Sciences Seminar
Abstract:
Inference regarding complex physical systems (e.g. subsurface aquifers, charged
particle accelerators, physics experiments) is typically plagued by a lack of
information available from relevant, experimental data. What data is available
is usually limited and informs indirectly about the phenomena of interest.
However, when the physical system is amenable to computer simulation, these
simulations can be combined with experimental observations to give useful
information regarding calibration parameters, prediction uncertainty, and
model inadequacy. This talk discusses general approach for carrying out such
analyses and looks at an application in cosmology.
Series Sponsored by: The C.V. Starr Lectureship Fund
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