An alternative bootstrap to moving blocks for time series regression models
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Publication:1414629
DOI10.1016/S0304-4076(03)00154-4zbMath1029.62041OpenAlexW3121335203MaRDI QIDQ1414629
Publication date: 4 December 2003
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(03)00154-4
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)
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Cites Work
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- Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
- Bootstrap specification tests for linear covariance stationary processes
- The maximum of the periodogram
- The use of subseries values for estimating the variance of a general statistic from a stationary sequence
- Necessary conditions for the bootstrap of the mean
- On the asymptotic accuracy of Efron's bootstrap
- On bootstrapping kernel spectral estimates
- A general resampling scheme for triangular arrays of \(\alpha\)-mixing random variables with application to the problem of spectral density estimation
- Bootstrap methods: another look at the jackknife
- Subsampling
- A frequency domain bootstrap for ratio statistics in time series analysis
- Time series regression with long-range dependence
- Subsampling for heteroskedastic time series
- The moving blocks bootstrap and robust inference for linear least squares and quantile regressions
- Jackknife, bootstrap and other resampling methods in regression analysis
- The jackknife and the bootstrap for general stationary observations
- Gaussian estimation of parametric spectral density with unknown pole
- Large sample confidence regions based on subsamples under minimal assumptions
- Log-periodogram regression of time series with long range dependence
- Gaussian semiparametric estimation of long range dependence
- Bootstrap and wild bootstrap for high dimensional linear models
- On Consistent Estimates of the Spectrum of a Stationary Time Series
- Exogeneity
- Calibrating Confidence Coefficients
- Tests for Hurst effect
- Fractional differencing
- On estimation of the integrals of the fourth order cumulant spectral density
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Automatic Frequency Domain Inference on Semiparametric and Nonparametric Models
- Inference-Without-Smoothing in the Presence of Nonparametric Autocorrelation
- On blocking rules for the bootstrap with dependent data
- Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators
- Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences
- Fractional Brownian Motions, Fractional Noises and Applications
- Central limit theorems for martingales and for processes with stationary increments using a Skorokhod representation approach
- Limiting behavior of functionals of higher-order sample cumulant spectra