On bootstrapping kernel spectral estimates
From MaRDI portal
Publication:1192961
DOI10.1214/aos/1176348515zbMath0757.62048OpenAlexW1977648299MaRDI QIDQ1192961
Jürgen Franke, Wolfgang Karl Härdle
Publication date: 27 September 1992
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176348515
bootstrapconfidence intervalstime seriesresamplingperiodogrambandwidth selectionMonte-Carlo simulationconfidence limitslocal bandwidthkernel spectral density estimator
Density estimation (62G07) Inference from stochastic processes and spectral analysis (62M15) Nonparametric statistical resampling methods (62G09)
Related Items
Bootstraps for time series, Testing for structural change in regression with long memory processes, Is the North Atlantic Oscillation just a pink noise?, Bootstrap long memory processes in the frequency domain, Bootstrap specification tests for linear covariance stationary processes, A robust test for serial correlation in panel data models, Resampling a nonlinear regression model in the frequency domain, Goodness of fit for lattice processes, Resampling the autocovariance estimator in stationary gaussian processes, Spectral analysis with replicated time series, A bootstrap approximation for the distribution of the local Whittle estimator, Subsampling for heteroskedastic time series, Bootstrap Methods for Time Series, Bootstrap confidence intervals for conditional density function in Markov processes, The multiple hybrid bootstrap -- resampling multivariate linear processes, Testing temporal constancy of the spectral structure of a time series, Frequency domain bootstrap for ratio statistics under long-range dependence, Test to compare two population logspectra, Frequency domain bootstrap for the fractional cointegration regression, A resampling method for regression models with serially correlated errors, Automatic spectral density estimation for random fields on a lattice via bootstrap, PEAK-INSENSITIVE NON-PARAMETRIC SPECTRUM ESTIMATION, LOGSPLINE ESTIMATION OF A POSSIBLY MIXED SPECTRAL DISTRIBUTION, RATE OF CONVERGENCE FOR LOGSPLINE SPECTRAL DENSITY ESTIMATION, Better Bootstrap Confidence Intervals for Regression Curve Estimation, A frequency domain bootstrap for general multivariate stationary processes, The periodogram at the Fourier frequencies, TFT-bootstrap: resampling time series in the frequency domain to obtain replicates in the time domain, An alternative bootstrap to moving blocks for time series regression models, Extending the validity of frequency domain bootstrap methods to general stationary processes, On the range of validity of the autoregressive sieve bootstrap, Consistency of the frequency domain bootstrap for differentiable functionals, A necessary and sufficient condition for asymptotic independence of discrete Fourier transforms under short- and long-range dependence, Autoregressive-aided periodogram bootstrap for time series, Asymptotic spectral theory for nonlinear time series, Data-driven shrinkage of the spectral density matrix of a high-dimensional time series, A Simple Bootstrap Method for Time Series, Bootstrap optimal bandwidth selection for kernel density estimates, The Hybrid Wild Bootstrap for Time Series, Kalman filtering and smoothing for model-based signal extraction that depend on time-varying spectra, Using the bootstrap for finite sample confidence intervals of the log periodogram regression, Nonparametric resampling for stationary Markov processes: the local grid bootstrap approach, Bootstrapping spectra: methods, comparisons and application to knock data, Inference for the Fourth-Order Innovation Cumulant in Linear Time Series, Bootstrapping the Local Periodogram of Locally Stationary Processes, Hybrid bootstrap aided unit root testing, Beyond Whittle: nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis, Bootstrap-based bandwidth choice for log-periodogram regression, Sum of the sample autocorrelation function, Bootstrap methods for dependent data: a review, The maximum of the periodogram of a non-Gaussian sequence., Cosine-based variable bandwidth selection for nonparametric spectral density estimation under long-range dependence, Stationary bootstrapping for non-parametric estimator of nonlinear autoregressive model, Nonparametric high resolution spectral estimation, Frequency domain bootstrap methods for random fields, A test for a difference between spectral peak frequencies., Estimation of the population spectrum with replicated time series., Testing equality of spectral density operators for functional processes, Frequency domain inference for univariate impulse responses, Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data, Recent developments in bootstrapping time series, The local bootstrap for Markov processes, Optimal window width choice in spectral density estimation, A bootstrap causality test for covariance stationary processes