This document describes the MatLab codes used to perform the simulations presented in [Salas-Gonzalez et al., 2006b] in which a fully Bayesian framework is presented for the estimation of the stable density parameters and the mixture parameters in an ?-stable mixture model. The model order is assumed unknown and is estimated using reversible jump Markov chain Monte Carlo (RJMCMC).

Bayesian mixture of stable distribution Matlab Codes v1.0

Kuruoglu E E
2007

Abstract

This document describes the MatLab codes used to perform the simulations presented in [Salas-Gonzalez et al., 2006b] in which a fully Bayesian framework is presented for the estimation of the stable density parameters and the mixture parameters in an ?-stable mixture model. The model order is assumed unknown and is estimated using reversible jump Markov chain Monte Carlo (RJMCMC).
2007
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Alpha-stable distribution
Mixture distributions
Bayesian estimation
Reversible jump Markov chain Monte Carlo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/152980
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