Sieve bootstrapping the memory parameter in long-range dependent stationary functional time series
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Publication:6065670
DOI10.1007/s10182-022-00463-7MaRDI QIDQ6065670
Publication date: 15 November 2023
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
functional principal component analysisvector autoregressionlocal Whittle estimatorfunctional autoregressive fractionally integrated moving averagelong-run covariance function
Cites Work
- Inference for the autocovariance of a functional time series under conditional heteroscedasticity
- Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis
- Convolutional autoregressive models for functional time series
- Fourier analysis of stationary time series in function space
- Inference for functional data with applications
- Identifying the finite dimensionality of curve time series
- Weakly dependent functional data
- Linear processes in function spaces. Theory and applications
- Bootstrap methods for stationary functional time series
- Gaussian semiparametric estimation of long range dependence
- Sieve bootstrap for functional time series
- A comparison of Hurst exponent estimators in long-range dependent curve time series
- Moving block and tapered block bootstrap for functional time series with an application to the \(K\)-sample mean problem
- Kernel estimates of nonparametric functional autoregression models and their bootstrap approximation
- Nonparametric functional data analysis. Theory and practice.
- Nonstationary fractionally integrated functional time series
- Functional coefficient moving average model with application to forecasting Chinese CPI
- Eigenvalue Ratio Test for the Number of Factors
- Long‐Memory Time Series
- Tests for Hurst effect
- Gaussian Semiparametric Estimation of Non-stationary Time Series
- Long-Memory Processes
- Local Whittle estimation of long‐range dependence for functional time series
- Estimation of the Mean of Functional Time Series and a Two-Sample Problem
- Long-Range Dependent Curve Time Series
- A Plug‐in Bandwidth Selection Procedure for Long‐Run Covariance Estimation with Stationary Functional Time Series
- A CORRECTED AKAIKE INFORMATION CRITERION FOR VECTOR AUTOREGRESSIVE MODEL SELECTION
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