Test for parameter change in the presence of outliers: the density power divergence-based approach
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Publication:5065268
DOI10.1080/00949655.2020.1842407OpenAlexW3105058987MaRDI QIDQ5065268
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.00004
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35) Statistics (62-XX)
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A robust approach for testing parameter change in Poisson autoregressive models ⋮ Sequential change point test in the presence of outliers: the density power divergence based approach
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Cites Work
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- Neglecting parameter changes in GARCH models
- Influence analysis of robust Wald-type tests
- Change-point detection in multinomial data using phi-divergence test statistics
- Robust parameter change test for Poisson autoregressive models
- Minimum density power divergence estimator for GARCH models
- Robust parameter estimation with a small bias against heavy contamination
- A data-based method for selecting tuning parameters in minimum distance estimators
- Stationarity of GARCH processes and of some nonnegative time series
- Minimum density power divergence estimator for Poisson autoregressive models
- Parameter change tests for ARMA-GARCH models
- Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
- Testing for parameter constancy in GARCH\((p,q)\) models
- The efficiency of the estimators of the parameters in GARCH processes.
- Testing statistical hypotheses based on the density power divergence
- Robust test for dispersion parameter change in discretely observed diffusion processes
- On the robustness of a divergence based test of simple statistical hypotheses
- The minimum \(S\)-divergence estimator under continuous models: the Basu-Lindsay approach
- High moment partial sum processes of residuals in GARCH models and their applications
- Robust estimation in the normal mixture model
- Test for parameter change based on the estimator minimizing density-based divergence meas\-ures
- Extensions of some classical methods in change point analysis
- Structural breaks in time series
- Robust Estimation of Dispersion Parameter in Discretely Observed Diffusion Processes
- Robust and efficient estimation by minimising a density power divergence
- Robust Statistics
- Generalized Wald-type tests based on minimum density power divergence estimators