Statistics Seminar

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Date/Time:Friday, 08 Nov 2013 from 12:10 pm to 1:00 pm
Location:Coover 1016
Cost:Free
URL:www.stat.iastate.edu
Contact:Jeanette La Grange
Phone:515-294-3440
Channel:College of Liberal Arts and Sciences
Categories:Lectures
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"Genetic Studies of Comorbidity," Jun Zhu, Department of Statistics and Department of Entomology, University of Wisconsin-Madison

We consider statistical tools for regression analysis of nominal categorical data on a spatial lattice. In a generalized linear mixed model framework, we model the response variable by a multinomial distribution. There are two additive components in the linear predictor: a linear regression on covariates and a spatial random effect such that the spatial dependence in the random effect is induced by a multivariate conditional autoregressive model. Bayesian hierarchical modeling is used for statistical inference and Markov chain Monte Carlo algorithms are devised to obtain posterior samples. The methodology is applied to analyze a northern Wisconsin land cover data set in a study that assesses the relationship between forest landscape structure and past social conditions, expanding the analytical tools available in landscape ecology and environmental history.