You are currently viewing an archived version of Topic Spatial Autoregressive Models.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.
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Bayesian methods. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
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
You are currently viewing an archived version of Topic Spatial Autoregressive Models.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.
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Bayesian methods. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).