Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
type: Item
instance of: scholarly article
title: Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
zbMATH Open document ID: 1466.62053
author: Tilman M. Davies
author: Khair Jones
author: Martin L. Hazelton
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6918269
zbMATH Keywords: bandwidth
zbMATH Keywords: case-control data
zbMATH Keywords: kernel smoothing
zbMATH Keywords: log-relative risk function
zbMATH Keywords: pilot estimation
zbMATH Keywords: simulation study
describes a project that uses: R
describes a project that uses: spatstat
describes a project that uses: pyuvdata
MaRDI profile type: Publication
full work available at URL: j.csda.2016.02.008
OpenAlex ID: W2287043830
cites work: On bandwidth variation in kernel estimates. A square root law
cites work: An evaluation of non-parametric relative risk estimators for disease maps
cites work: A comparison of estimators of the geographical relative risk function
cites work: Variable window width kernel estimates of probability densities
cites work: Inference Based on Kernel Estimates of the Relative Risk Function in Geographical Epidemiology
cites work: Kernel estimation of relative risk
cites work: Spatial Variation in Risk of Disease: A Nonparametric Binary Regression Approach
cites work: Boundary kernels for adaptive density estimators on regions with irregular boundaries
DOI: 10.1016/J.CSDA.2016.02.008
description: scientific article; zbMATH DE number 6918269