Bayesian Inference for Environmental Models

Formulation of environmental models and applications to data using R. Distribution theory, algorithms, and implementation. Topics include physiology, population growth, species interactions, disturbance, and ecosystem dynamics. Discussions focus on classical and current primary literature. Instructor: J. Clark. One course. 3 graduate units.

Course Number: 
BIOLOGY665
Course Level: 
500-699
Curriculum Codes: 
Crosslisting Numbers: 
ENVIRON665
ISIS665
Biology Area: 
Course Notes: 
offered Spring 2018