A Weakly Informative Prior for Resonance Frequencies

Onderzoeksoutput: Articlepeer review


We derive a weakly informative prior for a set of ordered resonance frequencies from Jaynes’ principle of maximum entropy. The prior facilitates model selection problems in which both the number and the values of the resonance frequencies are unknown. It encodes a weakly inductive bias, provides a reasonable density everywhere, is easily parametrizable, and is easy to sample. We hope that this prior can enable the use of robust evidence-based methods for a new class of problems, even in the presence of multiplets of arbitrary order.
Originele taal-2English
Aantal pagina's10
TijdschriftPhysical Sciences Forum
Nummer van het tijdschrift2
StatusPublished - 4 nov 2021
EvenementMAXENT 2021: 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Graz University of Technology, Graz, Austria
Duur: 4 jul 20219 jul 2021


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