Hierarchical Bayesian Modeling, 24–28 March 2014

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Hierarchical Bayesian Modeling, 24–28 March 2014

Postby Marc Kery » Tue Aug 20, 2013 1:23 pm

Workshop on Hierarchical Bayesian Modeling for Ecologists

Date: 24–28 March 2014
Lecturers: Marc Kéry, Swiss Ornithological Institute, Sempach/Switzerland &
Gonçalo Ferraz, Universidade Federal do Rio Grande do Sul, Porto Alegre/Brasil
Assistant: Jérôme Guélat, Swiss Ornithological Institute, Sempach/Switzerland
Location: Departamento de Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre/Brasil
Language: English
Organizer: Programa de Pós-Graduação em Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul (Chair: Dr. Sandra Hartz)
Course fee: 500 USD (for anyone who is not a graduate student in Brazil)

This course is based on two successful applied statistics books authored by Marc Kéry and published by Academic Press (2010 and 2012). It introduces hierarchical Bayesian modeling using the BUGS language implemented in the popular BUGS engines WinBUGS and JAGS. The first three days are spent by introducing the essentials of the Bayesian analysis of statistical models, hierarchical models and the BUGS language and by progressing through ecologically relevant examples ranging from very simple to moderately complex models. Thereby, a comprehensive overview is provided of linear, generalized linear (GLM), mixed and generalized linear mixed models (GLMM) in practice. During the last two days two special kinds of GLMMs are covered: static and dynamic site-occupancy models (MacKenzie et al. 2002, 2003; Tyre et al. 2003) to estimate occupancy and distributional change from replicated detection/nondetection observations while accommodating detection error, and Cormack-Jolly-Seber models (e.g., Lebreton et al. 1992) to estimate survival from capture-recapture data of marked individuals. Multi-state models are discussed as generalizations of both occupancy and survival models. Ample time is given to the solving of exercises.

No previous knowledge of Bayesian statistics is assumed; however, participants are required to have some experience in R or another programming language.

HOW TO APPLY: Send a CV and short letter describing former experience with ecological modeling and R, as well as main reasons for wanting to attend. This course is geared towards an audience of Brazilian graduate students but we welcome applications from anywhere in the world. Please send materials by email to Silvana Barzotto at ppgecol@ufrgs.br by 30 November 2013 and write “Hierarchical Modeling Workshop Application” in the subject of your message. We will review applications promptly and get back to you no later than December 15th, 2013. For more information please visit http://www.ferrazlab.com/LabSite/Teaching.html or write directly to marc.kery@vogelwarte.ch or goncalo.ferraz@ufrgs.br.
Marc Kery
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Joined: Wed May 02, 2012 2:10 pm

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