Introduction to Bayesian Modeling in Biology

The Bayesian Paradigm allows for a conceptual integration of prior information and new data. In addition, it allows for the outputting of probability about states of nature, updated based on observed data, which are often highly useful in decision making.

This class introduces students to Bayesian modeling applications in Natural Resources. Students will learn how to elicit, fit, check and compare models under the Bayesian Paradigm in the context of common problems in natural resources using the Stan programming language.  No prior knowledge of Stan programming is required. 

Class Format and Times

This class is synchronous and online. 

There is currently no scheduled offering of this class.

Purchasing the Class:

The price is $800.  You can purchase the class using a credit card or ACH at the QFC Storefront

MSU Guest Account (for non-MSU affiliated students)

Every student in the class needs an MSU account.  If you are not affiliated with MSU then you can get an MSU Guest Account here.

 
For questions, to pay by check, or to purchase classes in bulk contact Charlie Belinsky at 517-355-0126 or belinsky@msu.edu

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