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A theoretical framework for the TTA algorithm

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Publication:2078703
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DOI10.1016/J.PHYSA.2021.126288OpenAlexW3186979030MaRDI QIDQ2078703

A. Gómez-Águila, Miguel Angel Sánchez-Granero

Publication date: 1 March 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2021.126288


zbMATH Keywords

Hurst exponentGHE algorithmTTA algorithm


Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)





Cites Work

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  • Estimating long-range dependence: Finite sample properties and confidence intervals
  • Scaling behaviors in differently developed markets
  • Tests for Hurst effect
  • Fractional differencing
  • Semi-Stable Stochastic Processes
  • Error Bounds on the Estimation of Fractal Dimension
  • Stable Non-Gaussian Self-Similar Processes with Stationary Increments
  • Fractional Brownian Motions, Fractional Noises and Applications




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