syracuse

This short course is an introduction to the use of models as a tool to understand and predict ecological processes.

The main goal is to expose the participants to the quantitative tools used to link models and data and to compare the utility of alternative models.

We'll cover basic probability theory, maximum likelihood methods and Information Criteria but the emphasis will be on hierarchical Bayesian analysis and Monte Carlo Markov Chain.

Most examples will be from population ecology.