Signal confidence limits from a neural network data analysis

DOI10.1016/S0010-4655(97)00111-2zbMath0938.65009arXivhep-ex/9703001WikidataQ127174060 ScholiaQ127174060MaRDI QIDQ1967215

Bernd A. Berg, Jürgen Riedler

Publication date: 20 March 2000

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/hep-ex/9703001

zbMATH Keywords

neural networkconfidence boundsanalysis of experimental datadirect signal observationparticle physics data analysis

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Other elementary particle theory in quantum theory (81V25)

Uses Software

• BayesDA

Cites Work

• New algorithm to investigate neural networks
• The concepts of inverse probability and fiducial probability referring to unknown parameters
• IX. On the problem of the most efficient tests of statistical hypotheses
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