Maximum-entropy data analysisFunded under: EAEC-FUSION 12C
A typical problem encountered in the reconstruction of physical quantities from computer experimental data is the presence of noise. The maximum entropy method is an ideal tool for recovering hidden information from incomplete and noisy data without having to make model assumptions. It is based on Bayesian statistics and yields the most probable solution consistent with available data. Selected practical examples are presented to which the maximum entropy method can be applied.
Bibliographic Reference: Article: Applied Physics A, Vol. 60 (1995) pp. 155-165
Record Number: 199510788 / Last updated on: 1995-07-12
Original language: en
Available languages: en