for the workshop
Bayesian analysis with JAGS and R
King Mongkut's University of Technology Thonburi (KMUTT), 3 to 14 July 2017
During our Boot Camp in wildlife study design and data analysis,
we introduce the concepts underlying Bayesian approaches to data
analysis, and we run standard analyses with the
The modelling language used by the JAGS package makes it easy to write code for quite complex models, as the code closely follows the mathematical expressions we use to define the model. JAGS does not have a stand-alone GUI, but is closely integrated with R statistical software.
We'll begin with a review of probability and Bayes Rule, applying this to simple examples with just one or two parameters to estimate. This will be familiar to you if you have recently attended a Boot Camp, but we'll use different examples.
Next we'll look at modern computer-intensive methods for analysis of models with more than one parameter to estimate:
We will extend this to include hierarchical or random-effects models:
Then we will tackle examples of wildlife-related problems, where models must account for probability of detection. We will focus first on occupancy modelling:
Abundance estimation from spatially-explicit capture-recapture (SECR) data is a major area of application for Bayesian analysis:
Finally we will look at multi-species or community occupancy models (MSOMs):
All participants should come with a laptop computer with recent versions of R and JAGS installed.
Participants will be asked to complete an R Skills Review as a prerequisite for the workshop.
Page updated 23 Feb 2017 by Mike Meredith