Editing Geostatistics (section)

==== Bayesian estimation ====
{{Main|Bayesian inference}}
Bayesian inference is a method of statistical inference in which [[Bayes' theorem]] is used to update a probability model as more evidence or information becomes available. Bayesian inference is playing an increasingly important role in geostatistics.<ref>Banerjee S., Carlin B.P., and Gelfand A.E. (2014). Hierarchical Modeling and Analysis for Spatial Data, Second Edition. Chapman & Hall/CRC Monographs on Statistics & Applied Probability. {{ISBN|9781439819173}}</ref> Bayesian estimation implements kriging through a spatial process, most commonly a [[Gaussian process]], and updates the process using [[Bayes' Theorem]] to calculate its posterior. High-dimensional Bayesian geostatistics.<ref>Banerjee, Sudipto. High-Dimensional Bayesian Geostatistics. Bayesian Anal. 12 (2017), no. 2, 583--614. {{doi|10.1214/17-BA1056R}}. https://projecteuclid.org/euclid.ba/1494921642</ref>