Daniela Pappadà

Estimation of Voigt Distribution Parameters: A Bayesian Approach

Cannas, Massimo
;
Piras, Nicola
2025-01-01

Abstract

The Voigt profile, the density obtained from the convolution of a Gaussian and a Cauchy, is widely used in atomic and molecular spectroscopy. We exploit a characterization of the Voigt profile as a location mixture of the Cauchy distribution for parameter estimation via Gibbs sampler. A simulation study comparing the performance of the proposed algorithm against two widely used algorithms is presented. The proposed approach exhibits a promising performance in terms of MSE.
2025
Inglese
Statistics for Innovation II, SIS 2025
978-3-031-96302-5
Springer
Genova
ITALIA
Massimo Cannas, et al.
327
331
5
SIS 2025
Comitato scientifico
16-18 Giugno 2025
Genova
scientifica
Voigt distribution · mixture distribution · Bayesian statistics · Gibbs sampler
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Cannas, Massimo; Piras, Nicola
273
2
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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