Bayesian Inference and the Markov Chain Monte Carlo Method

Chapter
First Online:
Part of the Springer Theses book series (Springer Theses)

Abstract

The analysis presented in this thesis is a Bayesian oscillation analysis, which uses a Markov Chain Monte Carlo fitting technique. This is quite unusual in the field of neutrino physics: traditionally, frequentist fitting methods and interpretations have been more widely used. For this reason, this chapter describes the Markov Chain Monte Carlo method, as well as the Bayesian approach to parameter estimation and interpretation of results.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.FermilabBataviaUSA

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