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Workshop - Intermediate-level workshop Bayesian integrated population modeling (IPM) using BUGS and JAGS
Date: 30 Oct - 3 Nov 2017
Venue: USGS Patuxent Wildlife Research Center, Laurel/Maryland, USA
Computers: Bring your own laptop with latest R and JAGS
Registration: USD$ 600 (normal rate), USD$ 300 (student rate)
Integrated population models (IPMs) represent the powerful combination, in a single Leslie-type of model, of different data sources that are informative about the dynamics of an animal population (Besbeas et al. 2002; Schaub et al. 2007). Typical IPMs combine one or more time-series of counts with another data set that is directly informative about survival probabilities, such as ring-recovery or capture-recapture. However, many other sources of demographic information may be envisioned instead or in addition, including age-at-death data, occupancy or replicated point count data. Currently, for non-statisticians the only practical manner to develop and fit an IPM is using BUGS software (WinBUGS, OpenBUGS, JAGS).
This course is a practical and hands-on introduction to developing and fitting integrated population models using BUGS software. It is based on the successful book by Kéry & Schaub, Bayesian Population Analysis using WinBUGS (Academic Press, 2012), which will be handed out as part of the course.
Beyond IPMs, the course also provides an in-depth introduction for ecologists and wildlife managers to a very wide variety of models fit using BUGS software and as documented in the BPA book.
Contents include the following topics:
Ingredients of Integrated Population Models:
Integrated Population Models (IPMs)
About 80% of the time is spent on lecturing and 20% on solving exercises. No previous experience with BUGS software, or Bayesian statistics, is assumed. However, this is not a beginner's, but an intermediate-level workshop and a good working knowledge of modern regression methods (ANOVA, ANCOVA, GLMs, GLMM) and of program R is required. Moreover, a basic understanding of capture-recapture and/or occupancy models and of matrix projection models (Leslie matrices) is desirable. Send your application to Michael Schaub ( email@example.com), with CC to Marc Kéry (firstname.lastname@example.org); describing your background and knowledge in statistical modeling, R and BUGS software and capture-recapture, by 31 May 2017 at the latest. Workshop invitations will be sent out immediately afterwards.