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Abstract Details
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Activity Number:
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633
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #302947 |
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Title:
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Statistical Modeling of the Lower-Trophic Ocean Ecosystem Using Approximate Dynamics
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Author(s):
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William Leeds*+ and Christopher K. Wikle
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Companies:
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University of Missouri at Columbia and University of Missouri
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Address:
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1831 Sidney Street Apt J, Saint Louis, MO, 63104,
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Keywords:
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Ocean ecosystem ;
Bayesian inference ;
Spatio-temporal modeling
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Abstract:
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This talk focuses on the spatio-temporal dynamical processes in the lower trophic ocean ecosystem, where various sources of uncertainty make statistical modeling difficult. Such dynamical processes exhibit nonlinearity in time and possible nonstationarity in space. Planktonic organisms are microscopic, making it difficult to measure their abundance and resulting in limited data. Further, deterministic, component-based ecosystem models (e.g., NPZD and Nemuro) contain a large number of parameters, some of which can be difficult to estimate. We consider a Bayesian hierarchical model for state and parameter estimation that uses an approximation to the dynamical models for computational efficiency.
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