Lesson 30d Markov Random Field
Channel: Michael Dietze
Date: 2020-04-22

Boston University EE509 "Applied Environmental Statistics" Course: The tenth lecture in our unit on spatial statistics introduces the Markov Random Field framework, which is the 2-D generalization of the state-space time series framework, and illustrates an example of reconstructing maps of below ground soil hydraulic permeability.  http://people.bu.edu/dietze/Bayes2020/EE509.htm