Workshop on Bayesian Population Analysis using WinBUGS

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Workshop on Bayesian Population Analysis using WinBUGS

Postby Michael Schaub » Thu Jan 19, 2012 10:01 am

The Mediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB), Esporles (Mallorca), Spain, will host an intermediate workshop on "Bayesian Population Analysis using WinBUGS" from 24-28 September 2012, instructed by Marc Kéry and Michael Schaub. The cost of the workshop is 500 Euro.

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. It closely follows our book “Bayesian population analysis using WinBUGS” that was recently published by Academic Press. 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 models for estimating survival probabilities.
- Jolly-Seber models for estimating survival, recruitment and adundance.
- 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 until 25 May 2012 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 June 2012.
Michael Schaub
 
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