Adaptive wavelet estimation of a function from an m-dependent process with possibly unbounded m-Reference-Cited by-同舟云学术

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Adaptive wavelet estimation of a function from an m-dependent process with possibly unbounded m

Published:2018-01-16 Issue:5 Volume:48 Page:1123-1135
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Chesneau Christophe¹,Doosti Hassan²,Stone Lewi³

Affiliation:

1. Laboratoire de Mathématiques Nicolas Oresme, Université de Caen Normandie BP Caen Cedex, France

2. Department of Statistics, Macquarie University, Sydney, Australia

3. Department of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1423700

Reference41 articles.

1. Wavelets in statistics: A review

2. BlockShrink Wavelet Density Estimator in ϕ-Mixing Framework

3. DYNAMICS OF MEASLES EPIDEMICS: ESTIMATING SCALING OF TRANSMISSION RATES USING A TIME SERIES SIR MODEL

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1. Asymptotic normality for the wavelet partially linear additive model components estimation;Communications in Statistics - Theory and Methods;2023-11-30

2. Asymptotic distribution of the wavelet-based estimators of multivariate regression functions under weak dependence;Journal of Mathematical Inequalities;2023

3. On the integrated mean squared error of wavelet density estimation for linear processes;Statistical Inference for Stochastic Processes;2022-11-17

4. Nonlinear wavelet-based estimation to spectral density for stationary non-Gaussian linear processes;Applied and Computational Harmonic Analysis;2022-09

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