Workshop on Bayesian Population Analysis using WinBUGS

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Workshop on Bayesian Population Analysis using WinBUGS

Postby mschaub » Mon Sep 13, 2010 9:57 am

The Swiss Ornithological Institute in Sempach, Switzerland, will host an intermediate workshop on "Bayesian Population Analysis using WinBUGS" from 14-18 February 2011, instructed by Marc Kéry and Michael Schaub. The cost of the workshop is 500 Swiss Francs (700 for poeple outside academia).

This course introduces some key models used in the analysis of distribution, abundance and survival, as well as their spatial and temporal patterns, in a Bayesian analysis framework. We use programs R and WinBUGS to fit and understand some of the most widely used models for the analysis of animal and plant populations. These include:
- Poisson generalized linear mixed model (e.g., Link and Sauer 2002).
- State-space models (e.g., Dennis et al. 2006).
- Site-occupancy models (MacKenzie et al. 2002, 2003) for the analysis of species distributions.
- Binomial mixture models (Royle 2004) for the analysis of distribution and abundance with full accounting for observation error.
- Closed-population models for population size.
- Cormack-Jolly-Seber and ring-recovery models for estimating survival rates.
- Multistate capture-recapture models for estimating survival and transition rates.
- Integrated population models (Besbeas et al. 2002; Schaub et al. 2007).

This is an intermediate-level workshop with about 3/4 of the time spent on lecturing and 1/4 on solving exercises. No previous experience with program WinBUGS, or Bayesian statistics, is assumed. However, a good working knowledge of modern regression methods (ANOVA, ANCOVA, generalised linear models) and preferentially also of program R (or another programming language) is required.

If you are interested in attending please submit your application to michael.schaub@vogelwarte.ch (CC to marc.kery@vogelwarte.ch) in the form of an email indicating your position, research interests and experience or knowledge of quantitative methods, R programming and Bayesian analysis.

Workshop invitations will be sent out in early November 2010.
mschaub
 
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