Likelihood and Bayesian Approaches to Data Analysis Workshop
Tuesday, May 29, 2012 - Saturday, June 2, 2012
Location: 408 Baker
Event Description: This 4.5 day workshop provides an introduction to the use of statistical models as a tool to understand and predict ecological processes. Participants will learn quantitative tools used to link models to data, how to compare alternative models, and the utility of different modeling approaches through a combination of presentations, discussions, and practical exercises. The workshop covers basic probability theory, maximum likelihood methods, and Information Criteria with an emphasis on hierarchical Bayesian analysis and Monte Carlo Markov Chain. Most examples will be from population ecology, and participants will walk away with a suite of useful R and WinBUGS code and skills that they can adapt to their own ecological analyses. Bring your own data for some focused feedback and coding help during the workshop.
Katherina B. Searning
Sponsor: ESF Outreach
Monday, May 22, 2017
Add Your Event to the Calendar
Any ESF student, faculty or staff member with a valid username and password for the following systems is welcome to submit an event, announcement or news item for sharing on the web and social media.