Recurrence statistics for anomalous diffusion regime change detection
DOI10.1016/J.CSDA.2018.07.014zbMath1469.62143OpenAlexW2885455143WikidataQ129396385 ScholiaQ129396385MaRDI QIDQ1796971
Diego Krapf, Agnieszka Wyłomańska, Grzegorz Sikora
Publication date: 17 October 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2018.07.014
Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Fractional processes, including fractional Brownian motion (60G22)
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- Structural break detection method based on the adaptive regression splines technique
- Goodness-of-fit testing for the marginal distribution of regime-switching models with an application to electricity spot prices
- Variance change point detection for fractional Brownian motion based on the likelihood ratio test
- Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach
- Automatic speech signal segmentation based on the innovation adaptive filter
- Diffusion and Reactions in Fractals and Disordered Systems
- Fractional Langevin Equation
- Modeling single-file diffusion with step fractional Brownian motion and a generalized fractional Langevin equation
- Regime Variance Testing --- a Quantile Approach
- Fractional Brownian Motions, Fractional Noises and Applications
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