AFS Continuing Education
ROOM: RSCC, A17
(*Bayesian courses may be taken separately or together as a two-day series)
Although Bayesian methods have gained popularity in the analysis of ecological data, they are commonly viewed as something of a mystery by many fisheries and wildlife students and professionals. This workshop, designed for beginners, will equip participants with the necessary tools and knowledge to apply these methods to basic fisheries and wildlife analytical problems. A mixture of theoretical and applied topics regarding Bayesian inference will be covered including Bayes’ Theorem, distinctions between Bayesian and classical modes of inference, prior distributions and their influence on inference from the posterior, Markov chain Monte Carlo methods, and convergence diagnostics. These topics will be explored using the JAGS software (called through R) to investigate basic fisheries and wildlife analysis problems including estimation of means and variances of a data set, hypothesis testing, estimation of binomial parameters, and regression analysis. Example data sets will focus on fish and fisheries, but all analyses covered will be of general interest to wildlife professionals as well.