Model Uncertainty and Diagnostics Short Course
This short course introduces methods for characterizing uncertainty in maximum-likelihood models, including asymptotic approximations, likelihood profiling, and simulation approaches. Students will learn how to evaluate model performance using diagnostics, likelihood-based comparisons, and predictive checks. The emphasis of the course is on developing clear, defensible assessments of uncertainty and model validation.
Instructor: Chris Cahill (cahill11@msu.edu)
Date and times
March 31, April 1, and Apr 2, 2026 (9am-4pm ET each day)
Location:
Online through Zoom or in-person at Michigan State University (216 Natural Resources)
Purchasing the Class:
The price is $800, supporting partners receive a discount. You can purchase the class using a credit card or ACH at the QFC Storefront
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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