(Enter summary)
Abstract: The ubiquitous ill-posed inverse problem of estimating a form-free distribution
and the respective reliability given a set of noisy or incomplete data
is solved with Bayesian probability theory by exploiting prior information. The
method applies to problems where we do not have enough information to be able
to characterize the distribution by a specific type of functional model or do not
have enough confidence in functions with a few specific parameters. The price for
the flexibility to allow... (Update)
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BibTeX entry: (Update)
Fischer, R. (1999). The Adaptive Resolution Concept in Form-Free Distribution Estimation. Proceedings of the Workshop on Physics and Computer Science. (W. Kluge, ed.). Department of Computer Science, Christian-Albrechts-University, Kiel, Germany. http://citeseer.ist.psu.edu/fischer99adaptive.html More
@misc{ fischer99adaptive,
author = "R. Fischer",
title = "The Adaptive Resolution Concept in Form-Free Distribution Estimation",
text = "Fischer, R. (1999). The Adaptive Resolution Concept in Form-Free Distribution
Estimation. Proceedings of the Workshop on Physics and Computer Science.
(W. Kluge, ed.). Department of Computer Science, Christian-Albrechts-University,
Kiel, Germany.",
year = "1999",
url = "citeseer.ist.psu.edu/fischer99adaptive.html" }
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Density Estimation for Statistics and Data Analysis (context) - Silverman - 1986
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