Bayesian methods supplement the standard analysis methods such as regression, ANOVA, and generalized linear models. They are helpful in two general situations. First, when information from a number of studies is to be merged together. Second, there are certain problems that are “hard” to do using standard methods. For example, dealing with censored data in regression, or random effects in logistic regression. This course will present an overview of the use of Bayesian methods in ecology.

Pre-Requisites:
Sound understanding of basic regression and ANOVA. For example, you should be able to write down the full statistical model for a linear regression. Have you run a logistic regression before? Some familiarity with R will be helpful as we will use R to access OpenBugs/JAGS after learning the basics.

Details and registration are at www.cmiae.org

Last date to register is October 13, 2015
Register early.  Class size is limited to 16 students