Kernel density estimation under negative superadditive dependence and its application for real data

DOI10.1080/00949655.2019.1619738OpenAlexW2946834737WikidataQ127859714 ScholiaQ127859714MaRDI QIDQ5107461

Azam Kheyri, Hadi Jabbari, Mohammad Amini-Dehak, Abolghassem Bozorgnia

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1619738

zbMATH Keywords

kernel estimationexponential ratesnegative superadditive dependence

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (2)

Exponential convergence rates for the kernel bivariate distribution function estimator under NSD assumption with application to hydrology data ⋮ Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors

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