Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6825
Title: Bayesian stable mixture model of state densities of generalized Chua's circuit
Authors: Savacı, Ferit Acar
Yılmaz, Serpil
Keywords: Semiparametric modeling
Probability density function
Chua's circuit
Multiscroll chaotic attractors
Publisher: World Scientific Publishing Co. Pte Ltd
Source: Savacı, F. A., and Yılmaz, S. (2015). Bayesian stable mixture model of state densities of generalized Chua's circuit. International Journal of Bifurcation and Chaos, 25(3). doi:10.1142/S0218127415500388
Abstract: 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.
URI: http://doi.org/10.1142/S0218127415500388
http://hdl.handle.net/11147/6825
ISSN: 0218-1274
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
6825.pdfMakale1.58 MBAdobe PDFThumbnail
View/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

4
checked on Mar 22, 2024

WEB OF SCIENCETM
Citations

4
checked on Mar 27, 2024

Page view(s)

152
checked on Mar 25, 2024

Download(s)

170
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.