Bayesian analysis is a formal statistical framework for updating knowledge based on observations using the basic laws of probability. Ecologists and social scientists increasingly use Bayesian hierarchal models to deal with complexity in the systems they study. This course provides a principled foundation needed to learn Bayesian approaches to modeling socio-environmental processes.
The National Socio-Environmental Synthesis Center (SESYNC) will host a nine-day short course January 5–14, 2015 covering basic principles of using Bayesian models to gain insight from data.
Attendance for this short course is closed. Click here for more information.