Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models
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Publication:1010441
DOI10.1016/j.csda.2005.10.007zbMath1157.62497OpenAlexW2092787549MaRDI QIDQ1010441
Glaura C. Franco, Eduardo M. Silva, Frederico R. B. Cruz, Valdério Anselmo Reisen
Publication date: 6 April 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2005.10.007
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)
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Uses Software
Cites Work
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- Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models
- Estimation of seasonal fractionally integrated processes
- Bootstrap methods: another look at the jackknife
- Some simulations and applications of forecasting long-memory time-series models
- Semiparametric analysis of long-memory time series
- Bootstrap techniques in semiparametric estimation methods for ARFIMA models: A comparison study.
- Averaged periodogram estimation of long memory
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Fractional differencing
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- ESTIMATION OF THE FRACTIONAL DIFFERENCE PARAMETER IN THE ARIMA(p, d, q) MODEL USING THE SMOOTHED PERIODOGRAM
- Comparing the bias and misspecification in ARFIMA models
- The Local Bootstrap for Periodogram Statistics
- Fractional Brownian Motions, Fractional Noises and Applications
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