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Bayesian Methods and Modeling

General

  1. Alan E. Gelfand

Published Online: 15 JAN 2013

DOI: 10.1002/9780470057339.vab007.pub2

Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

How to Cite

Gelfand, A. E. 2013. Bayesian Methods and Modeling . Encyclopedia of Environmetrics. 4.

Author Information

  1. Duke University, Durham, NC, USA

Publication History

  1. Published Online: 15 JAN 2013

Abstract

In the past 20 years, we have seen a remarkable rejuvenation of the Bayesian inference paradigm. Novel computational tools in conjunction with inexpensive high-speed computing have enabled the fitting of challenging Bayesian models. As a result, a more integrated view of inference, using observational data, synthesizing multiple sources of information, specifying multilevel models, has emerged to explain complex processes. Environmental processes provide an exceptionally rich source of application for this full and exact inference paradigm.

Keywords:

  • exact inference;
  • hyperparameters;
  • prediction;
  • process modeling;
  • random effects