Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Bock, Wolfgang
da Silva, José Luís
and
Suryawan, Herry P.
2016.
Local times for multifractional Brownian motion in higher dimensions: A white noise approach.
Infinite Dimensional Analysis, Quantum Probability and Related Topics,
Vol. 19,
Issue. 04,
p.
1650026.
Garcin, Matthieu
2017.
Estimation of time-dependent Hurst exponents with variational smoothing and application to forecasting foreign exchange rates.
Physica A: Statistical Mechanics and its Applications,
Vol. 483,
Issue. ,
p.
462.
Yang, Yanyan
and
Peng, Qidi
2017.
Do Sentiment and Exchange Rate Share Memories? An Application of Multifractional Process Modeling.
SSRN Electronic Journal ,
Jin, Sixian
Peng, Qidi
and
Schellhorn, Henry
2018.
Estimation of the pointwise Hölder exponent of hidden multifractional Brownian motion using wavelet coefficients.
Statistical Inference for Stochastic Processes,
Vol. 21,
Issue. 1,
p.
113.
Bianchi, Sergio
and
Pianese, Augusto
2018.
Time-varying Hurst–Hölder exponents and the dynamics of (in)efficiency in stock markets.
Chaos, Solitons & Fractals,
Vol. 109,
Issue. ,
p.
64.
Bertrand, Pierre Raphaël
Combes, Jean-Louis
Dury, Marie-Eliette
Hadouni, Doha
and
Bianchi, Sergio
2018.
Overfitting of Hurst estimators for multifractional Brownian motion: A fitting test advocating simple models.
Risk and Decision Analysis,
Vol. 7,
Issue. 1-2,
p.
31.
Peng, Qidi
and
Zhao, Ran
2018.
A general class of multifractional processes and stock price informativeness.
Chaos, Solitons & Fractals,
Vol. 115,
Issue. ,
p.
248.
Bock, Wolfgang
da Silva, Jose Luis
and
Suryawan, Herry Pribawanto
2020.
Self-intersection local times for multifractional Brownian motion in higher dimensions: A white noise approach.
Infinite Dimensional Analysis, Quantum Probability and Related Topics,
Vol. 23,
Issue. 01,
p.
2050007.
Shen, Jinqi
and
Hsing, Tailen
2020.
Hurst function estimation.
The Annals of Statistics,
Vol. 48,
Issue. 2,
Szarek, Dawid
Jabłoński, Ireneusz
Krapf, Diego
and
Wyłomańska, Agnieszka
2022.
Multifractional Brownian motion characterization based on Hurst exponent estimation and statistical learning.
Chaos: An Interdisciplinary Journal of Nonlinear Science,
Vol. 32,
Issue. 8,
Saâdaoui, Foued
and
Rabbouch, Hana
2024.
Structured multifractal scaling of the principal cryptocurrencies: Examination using a self‐explainable machine learning.
Journal of Forecasting,
Vol. 43,
Issue. 7,
p.
2917.