Data-driven semi-parametric detection of multiple changes in long-range dependent processes
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Publication:2209823
DOI10.1214/20-EJS1757zbMath1462.62512arXiv1801.02515OpenAlexW2907213783MaRDI QIDQ2209823
Abdellatif Guenaizi, Jean-Marc Bardet
Publication date: 5 November 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1801.02515
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Markov processes: estimation; hidden Markov models (62M05)
Uses Software
Cites Work
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- Detection of multiple changes in a sequence of dependent variables
- Nonstationarity-extended local Whittle estimation
- Slope heuristics: overview and implementation
- Regularly varying correlation functions and KMO-Langevin equations
- The multiple change-points problem for the spectral distribution
- Asymptotics for the partial autocorrelation function of a stationary process
- Higher-order kernel semiparametric M-estimation of long memory
- Log-periodogram regression of time series with long range dependence
- Gaussian semiparametric estimation of long range dependence
- Multiple breaks detection in general causal time series using penalized quasi-likelihood
- Nonparametric change-point analysis of volatility
- Least‐squares Estimation of an Unknown Number of Shifts in a Time Series
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Consistent estimation of the memory parameter for nonlinear time series
- Bayesian methods for change-point detection in long-range dependent processes
- Testing for a change of the long-memory parameter
- LEAST SQUARES ESTIMATION OF A SHIFT IN LINEAR PROCESSES
- Estimating and Testing Linear Models with Multiple Structural Changes
- Testing for long memory in the presence of a general trend
- Estimating a change point in the long memory parameter
- DETECTION OF NONCONSTANT LONG MEMORY PARAMETER
- Testing and estimating for change in long memory parameter
- On multipliers preserving convergence of trigonometric series almost everywhere
- Wavelet estimator of long-range dependent processes.
- Change-point detection in long-memory processes
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