PLS 207
— Applied Statistical Modeling for the Environmental Sciences
Introduction to building statistical models in classical and Bayesian frameworks, model fitting methods, introduction to hierarchical Bayes, regularization and priors, applications of hierarchical Bayesian models to important kinds of problems of environmental data analysis.
Prerequisites & course information
Course Description: Introduction to building statistical models in classical and Bayesian frameworks, model fitting methods, introduction to hierarchical Bayes, regularization and priors, applications of hierarchical Bayesian models to important kinds of problems of environmental data analysis. Learning Activities: Lecture 3 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027