On testing for serial correlation of unknown form using wavelet thresholding
type: Item
instance of: scholarly article
title: On testing for serial correlation of unknown form using wavelet thresholding
zbMATH Open document ID: 1284.62513
author: P. Duchesne
author: Linyuan Li
author: Jill Vandermeerschen
published in: Computational Statistics and Data Analysis
publication date: 2014-04-14T00:00:00Z
Mathematics Subject Classification ID: 62M02
Mathematics Subject Classification ID: 62-07
zbMATH DE Number: 6284759
MaRDI profile type: Publication
full work available at URL: j.csda.2009.11.012
OpenAlex ID: W2054671350
cites work: Testing for Serial Correlation Against an ARMA(1, 1,) Process
cites work: DETERMINING THE BANDWIDTH OF A KERNEL SPECTRUM ESTIMATE
cites work: Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
cites work: Q4862306
cites work: Time series: theory and methods.
cites work: Martingale Central Limit Theorems
cites work: A constrained risk inequality with applications to nonparametric functional estimation
cites work: Asymptotic equivalence theory for nonparametric regression with random design
cites work: Asymptotic nonequivalence of nonparametric experiments when the smoothness index is \(1/2\)
cites work: Ten Lectures on Wavelets
cites work: Ideal spatial adaptation by wavelet shrinkage
cites work: Adapting to Unknown Smoothness via Wavelet Shrinkage
cites work: Minimax estimation via wavelet shrinkage
cites work: ON TESTING FOR SERIAL CORRELATION WITH A WAVELET-BASED SPECTRAL DENSITY ESTIMATOR IN MULTIVARIATE TIME SERIES
cites work: Q5799101
cites work: TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II
cites work: Test of Significance Based on Wavelet Thresholding and Neyman's Truncation
cites work: Q4779824
cites work: Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models
cites work: Wavelets, approximation, and statistical applications
cites work: Comparing nonparametric versus parametric regression fits
cites work: Q4896587
cites work: Consistent Testing for Serial Correlation of Unknown Form
cites work: Q4014808
cites work: A comparative study of the finite-sample performance of some portmanteau tests for randomness of a time series
cites work: Testing for serial correlation of unknown form using wavelet methods
cites work: Q4821817
cites work: On a measure of lack of fit in time series models
cites work: A theory for multiresolution signal decomposition: the wavelet representation
cites work: Q3135829
cites work: SPECTRAL DENSITY ESTIMATION VIA NONLINEAR WAVELET METHODS FOR STATIONARY NON-GAUSSIAN TIME SERIES
cites work: Spectral Density Based Goodness‐of‐Fit Tests for Time Series Models
cites work: On the power transformation of kernel-based tests for serial correlation in vector time series: some finite sample results and a comparison with the bootstrap
cites work: Q3323077
cites work: WAVELETS AND TIME-DEPENDENT SPECTRAL ANALYSIS
cites work: Testing for strong serial correlation and dynamic conditional heteroskedasticity in multiple regression
cites work: Automatic Frequency Domain Inference on Semiparametric and Nonparametric Models
cites work: Asymptotic theory of statistical inference for time series
cites work: Q4256211
cites work: Q4888818
cites work: Q3992561
DOI: 10.1016/J.CSDA.2009.11.012
description: scientific article