A NEW STATISTICAL METHOD FOR FILTERING AND ENTROPY ESTIMATION OF A CHAOTIC MAP FROM NOISY DATA

DOI10.1142/S0218127404011612zbMath1090.37557OpenAlexW2072306603MaRDI QIDQ5474149

Góra, Paweł, Boyarski, Abraham, Yogendra P. Chaubey, Gutti Jogesh Babu

Publication date: 23 June 2006

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127404011612

zbMATH Keywords

Bernstein polynomialregression functionone-dimensional dynamicsestimation of entropypiecewise expanding mapssmooth estimationstatistical filtration of noise

Mathematics Subject Classification ID

Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Time series analysis of dynamical systems (37M10) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Universal codes as a basis for time series testing

Cites Work

• Direct calculation of metric entropy from time series
• Application of Bernstein polynomials for smooth estimation of a distribution and density function
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