Large and moderate deviations for kernel-type estimators of the mean density of Boolean models

DOI10.1214/18-EJS1397zbMath1390.62053MaRDI QIDQ1697483

Publication date: 20 February 2018

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1518750030

zbMATH Keywords

estimation confidence intervals stochastic geometry large deviations moderate deviations mean density random closed sets Boolean models

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Geometric probability and stochastic geometry (60D05) Large deviations (60F10)

Related Items (2)

Statistical inference for the intensity in a partially observed jump diffusion ⋮ Asymptotic behavior of mean density estimators based on a single observation: the Boolean model case

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