Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Institution Author: search.filters.institutionAuthor.Yılmaz, SerpilSubject: search.filters.subject.Probability density function

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  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Bayesian Stable Mixture Model of State Densities of Generalized Chua's Circuit
    (World Scientific Publishing Co. Pte Ltd, 2015) Savacı, Ferit Acar; Yılmaz, Serpil
    In this paper, the probability density functions (PDFs) of the states of Generalized Chua's Circuit (GCC) have been modeled by Finite Mixture α-Stable (FMαS) distributions which is a Bayesian mixture model of α-stable distributions and it provides semiparametric characterization for the distributions of multiscroll chaotic attractors. Fully Bayesian approach has been applied to estimate the mixture parameters of multimodal distributions corresponding to the multiscroll chaotic attractors.