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AM-25 - Bayesian methods
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
Related Topics:
Local Measures of Spatial Association
Exploratory data analysis (EDA)
Global Measures of Spatial Association
Keywords:
spatial statistics
Keywords: