On the almost everywhere properties of the kernel regression estimate
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Publication:1207632
DOI10.1007/BF00118638zbMath0782.62047WikidataQ118592627 ScholiaQ118592627MaRDI QIDQ1207632
Publication date: 1 April 1993
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
bias adjustmentkernel regression estimatesecond order asymptotic expansionsasymptotic distribution-free normalitybandwidth-selection rule
Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)
Related Items (3)
Cascade non-linear system identification by a non-parametric method ⋮ Strong universal consistency of smooth kernel regression estimates ⋮ Weak dependence beyond mixing and asymptotics for nonparametric regression
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