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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_12C | Sun, 8/2/09, 8:30 AM - 5:00 PM | RH-Meeting Rooms 8 & 9 |
| Hierarchical Modeling and Analysis of Spatial-Temporal Data: Emphasis in Forestry, Ecology, and Environmental Sciences - Continuing Education - Course | ||
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ASA, Section on Bayesian Statistical Science |
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| Instructor(s): Sudipto Banerjee, The University of Minnesota, Andrew Finley, Michigan State University | ||
| Proliferation of spatial-temporal data sets and need for analysis is especially common in the broad fields of forestry and ecology. Here, spatially and temporally indexed data, consisting of at least one response variable and associated covariates, are used to estimate natural resource inventory, presence/absence, counts, or change. The focus of inference is on model parameters and/or subsequent prediction. Rarely is it safe-or even desirable-to assume independent model residuals. This assumption is often violated because these data exhibit temporal, spatial, and/or hierarchical structure. This course details hierarchical generalized linear models that accommodate spatial-temporal associations. Careful attention will be paid to theoretical foundations of model specification, identifiability of parameters, and inference. Lecture topics are motivated by forestry and ecological studies. Emphasis is given to exploration and visualization of spatial-temporal data and model implementation. A familiarity with classical linear models and multiple regression is helpful. A laptop with a current version of spBayes installed, while not required, will be useful. | ||
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |