Analysis of Time-Series Data using State-Space and Hierarchical Modeling

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Analysis of Time-Series Data using State-Space and Hierarchical Modeling

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Model selection

In this lecture, we discuss a variety of types of structure (hierarchy) you can have in a multi-variate state-space model using a spatial metapopulation model as an example. We show how model selection (using AICb) can quantify model support for different structures.

Slide listing (21 total)

Created on Jul 27, 2010 at 01:22:38 PM by eli

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