cm014 - November 15, 2018

Overview

  • Define parametric inference and identify use cases
  • Define maximum likelihood estimation (MLE)
  • Review the properties of the maximum likelihood estimator
  • Demonstrate MLE for basic estimators
  • Identify how to computationally estimate the maximum likelihood estimator

Before class

Slides and class materials

Additional resources

What you need to do

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