Discrete Langevin-type equation for p-order persistent time series and procedure of its reconstruction
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Publication:5000844
DOI10.1063/5.0048598zbMath1465.37091OpenAlexW3172846540MaRDI QIDQ5000844
Publication date: 15 July 2021
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1063/5.0048598
Generation, random and stochastic difference and differential equations (37H10) Time series analysis of dynamical systems (37M10)
Uses Software
Cites Work
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- Threshold models in non-linear time series analysis
- Threshold models in time series analysis -- 30 years on
- Asymptotic methods for the Fokker-Planck equation and the exit problem in applications
- Generalized autoregressive conditional heteroscedasticity
- A note on estimating drift and diffusion parameters from time series
- A nonlinear long memory model, with an application to US unemployment.
- Analysis of data sets of stochastic systems
- Fractional differencing
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Stochastic Processes and Applications
- Reconstruction of the modified discrete Langevin equation from persistent time series
- Fractional Brownian Motions, Fractional Noises and Applications
- Detecting long-range correlations with detrended fluctuation analysis