Bayesian Modeling for Socio-Environmental Data 2016

Bayesian Modeling for Socio-Environmental Data: August 2016

This is a closed meeting for a funded group of visiting scholars.

The National Socio-Environmental Synthesis Center (SESYNC) will host a nine-day short course August 1–10, 2016, covering basic principles of using Bayesian models to gain insight from data. The goals of the course are to:

• Provide a principles-based understanding of Bayesian methods needed to train students, evaluate papers and proposals, and solve research problems.
• Communicate the statistical concepts and vocabulary needed to foster collaboration between ecologists, social scientists, and statisticians.
• Provide the conceptual foundations and quantitative confidence needed for self-teaching modern analytical methods.

To learn more about this project, click here.