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Abstract Details
Activity Number:
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322
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #300140 |
Title:
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Using Approximate Dynamics to Inform Spatio-Temporal Ocean Ecosystem Models
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Author(s):
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Christopher K. Wikle*+
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Companies:
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University of Missouri
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Address:
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Department of Statistics, Columbia, MO, 65211-6100,
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Keywords:
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dynamic ;
spatio-temporal ;
ocean ;
ecosystem ;
nonlinear ;
hierarchical
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Abstract:
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A wide variety of physical-biological models of varying complexity have been developed for components of the lower trophic ecosystem and its spatio-temporal interaction with the physical ocean. Such models are highly nonlinear and include parameterizations that are historically poorly informed by limited and relatively uncertain observations. This talk describes how approximate dynamical representations can facilitate parameter and state estimation for such processes in a Bayesian hierarchical framework.
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Authors who are presenting talks have a * after their name.
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