##### AM-25 - Bayesian methods

- 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

## GS-21 - Balancing security and open access to geospatial information