On estimating the asymptotic variance of stationary point processes
type: Item
instance of: scholarly article
title: On estimating the asymptotic variance of stationary point processes
zbMATH Open document ID: 1197.62122
author: Lothar Heinrich
author: Michaela Prokešová
published in: Methodology and Computing in Applied Probability
publication date: 2010-10-14T00:00:00Z
full work available at URL: imf thiele 2006 17.pdf
Mathematics Subject Classification ID: 62M09
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 60G55
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5800279
zbMATH Keywords: reduced covariance measure
zbMATH Keywords: factorial moment and cumulant measures
zbMATH Keywords: Poisson cluster process
zbMATH Keywords: hard-core process
zbMATH Keywords: kernel-type estimator
zbMATH Keywords: mean squared error
zbMATH Keywords: optimal bandwidth
zbMATH Keywords: pair correlation function
zbMATH Keywords: central limit theorem
zbMATH Keywords: Brillinger-mixing
describes a project that uses: spatial
MaRDI profile type: Publication
OpenAlex ID: W2055226700
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DOI: 10.1007/S11009-008-9113-3
description: scientific article; zbMATH DE number 5800279