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.