Asymptotic confidence bands in the Spektor-Lord-Willis problem via kernel estimation of intensity derivative
type: Item
instance of: scholarly article
title: Asymptotic confidence bands in the Spektor-Lord-Willis problem via kernel estimation of intensity derivative
zbMATH Open document ID: 1387.62061
DOI: 10.1214/18-EJS1391
author: Bogdan Ćmiel
author: Zbigniew Szkutnik
author: Jakub Wojdyła
published in: Electronic Journal of Statistics
publication date: 2018-02-20T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1518080460
Mathematics Subject Classification ID: 62G15
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 6841003
zbMATH Keywords: Spektor-Lord-Willis problem
zbMATH Keywords: inverse problem
zbMATH Keywords: minimax risk
zbMATH Keywords: rate of convergence
zbMATH Keywords: derivative estimation
zbMATH Keywords: kernel estimator
zbMATH Keywords: confidence bands
zbMATH Keywords: adaptive estimator
MaRDI profile type: Publication
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OpenAlex ID: W2787204128
description: scientific article; zbMATH DE number 6841003