Semiparametric approach to point source modelling in epidemiology and criminology

Alexandre Rodrigues; Peter Diggle; Renato Assuncao

doi:10.1111/j.1467-9876.2009.00708.x

Semiparametric approach to point source modelling in epidemiology and criminology

Alexandre Rodrigues, Peter Diggle, Renato Assuncao

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

Summary: By treating the conditional approach that was suggested by Diggle and Rowlingson as a generalized additive model, we provide a semiparametric method for point process modelling with point source interventions. We illustrate the flexibility of this approach with two applications. The first is a reanalysis of an epidemiological case-control data set in which we compare the semiparametric fit with a previously reported parametric model. The second is an application to a complex intervention in the Brazilian city of Belo Horizonte, in which we show how the installation of 60 closed-circuit television cameras has changed the spatial distribution of crimes within an area of high criminal activity.

Original language	English
Pages (from-to)	533-542
Number of pages	10
Journal	Journal of the Royal Statistical Society Series C: Applied Statistics
Volume	59
Issue number	3
DOIs	https://doi.org/10.1111/j.1467-9876.2009.00708.x
Publication status	Published - 1 May 2010
Externally published	Yes

Keywords

Point process
Point source intervention
Spatial distribution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/j.1467-9876.2009.00708.x

Cite this

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KW - Point source intervention

KW - Spatial distribution

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Semiparametric approach to point source modelling in epidemiology and criminology

Abstract

Keywords

UN SDGs

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