Outlier Tolerant Parameter Estimation

Publikation: Beitrag in Buch/Bericht/KonferenzbandSonstiger Beitrag in Buch/Bericht/Konferenzband


Real world does not only provide noisy instead of perfect data. Every experimentalist has now and then to deal with outliers. The situation is simple if isolated points stick out of the general trend by a large amount. Arguments can then usually be found why such a point should be disregarded. The situation becomes critical if the outliers are not that obvious. This is usually the case for parameter space dimensions ≥ 3. We present a Bayesian solution to the outlier problem which assumes that the uncertainties assigned to the experimental data are only estimates of the true error variances.
TitelMaximum Entropy and Bayesian Methods Garching, Germany 1998
Redakteure/-innenWolfgang von der Linden, Volker Dose, Rainer Fischer, Roland Preuss
Herausgeber (Verlag)Springer Netherlands
ISBN (Print)978-94-010-5982-4 978-94-011-4710-1
PublikationsstatusVeröffentlicht - 1999


NameFundamental Theories of Physics
Herausgeber (Verlag)Springer Netherlands


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