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Bayesian Inference : Parameter Estimation and Decisions

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Harney,  Hanns Ludwig
Prof. Hans A. Weidenmüller, Emeriti, MPI for Nuclear Physics, Max Planck Society;

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Citation

Harney, H. L. (2003). Bayesian Inference: Parameter Estimation and Decisions. New York [u.a.]: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0011-81EB-8
Abstract
The book provides a generalization of Gaussian error intervals ti situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-