Likelihood Fitting and Dynamic Models II

Abstract

The second introductory lecture in a series on how to fit mechanistic disease transmission models to time series data. This lecture focuses on appropriate data transformations when fitting (log, logistic), the difference between observation and process error (noise), identifiability, and how to report uncertainty in results