Modern Environmental Statistics

4 units · Graduate courses (200-299)

(Same as Atmospheric and Oceanic Sciences M239.) Seminar, three hours. Limited to graduate students. Preparation: undergraduate-level calculus, linear algebra, and statistics. Recommended: background in coding. Focus on understanding and application of statistical tools for environmental datasets through close reading and discussion of modern and classic statistical and scientific papers. Topics may include Bayesian modeling, hypothesis testing, regression, causality, multidimensional data analysis, time series modeling, and extreme value analysis. Most papers focus on statistical approaches in climate science. S/U or letter grading.