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Hardness Ratios

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If you have a question about this talk, please contact Zoubin Ghahramani.

Application of Bayesian Methods on the ratio of Soft to Hard photon counts. Specifically using Gibbs Sampling and numerical integration of the posterior to get more accurate and intuitive confidence intervals vis-a-vis the current frequentist method of error propagation via Taylor expansion.

This talk is part of the Machine Learning @ CUED series.

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