Abstract
Bayesian evidence is used to select the best model from a large set of models. The models are straight lines which might contain glitches and sudden changes in the slope. Most of the model parameters are nuisance parameters. The standard deviation of the noise has to be estimated too. As this is bulk data processing, it has to be done within strict CPU time limitations.
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© 1999 Springer Science+Business Media Dordrecht
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Kester, D. (1999). Straight Lines. In: von der Linden, W., Dose, V., Fischer, R., Preuss, R. (eds) Maximum Entropy and Bayesian Methods Garching, Germany 1998. Fundamental Theories of Physics, vol 105. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4710-1_19
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DOI: https://doi.org/10.1007/978-94-011-4710-1_19
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