Consistency and asymptotic normality of wavelet estimator in a nonparametric regression model

DOI10.1080/17442508.2020.1815745zbMath1490.62102OpenAlexW3088472241MaRDI QIDQ5086709

Yige Qiu, Aiting Shen, Yajing Zhang, Xiang Li, Xue-jun Wang

Publication date: 7 July 2022

Published in: Stochastics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17442508.2020.1815745

zbMATH Keywords

consistency asymptotic normality wavelet estimator nonparametric regression model $\varphi$-mixing errors

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (2)

On a class of linear regression methods ⋮ Consistency of estimator for nonparametric regression under negatively superadditive dependent random variables

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