AM-25 - Bayesian methods

You are currently viewing an archived version of Topic Spatial Autoregressive Models. If updates or revisions have been published you can find them at Spatial Autoregressive Models.

Learning Objectives: 
  • Define “prior and posterior distributions” and “Markov-Chain Monte Carlo”
  • Explain how the Bayesian perspective is a unified framework from which to view uncertainty
  • Compare and contrast Bayesian methods and classical “frequentist” statistical methods