BNP prior series: From Gaussian Process to Gaussian Markov Random Field: many GP related models applied to Albeto data
Published:
In this post, I will review class projects in STAT 245 Spatial Statistics. The main models include stationary Gaussian Processes Bayesian inference, Predictive Gaussian Process, and finally Gaussian Markov Random Field. The goal is to highlight model properties, implementation details, and present some real data analysis with these three models applied to the Albedo satellite data in North America.