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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Duffy, K.E. (2017). Bayesian Inference and the Markov Chain Monte Carlo Method. In: First Measurement of Neutrino and Antineutrino Oscillation at T2K. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-65040-1_4
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DOI: https://doi.org/10.1007/978-3-319-65040-1_4
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