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 (US) |
|---|---|
| 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 | |
| State | Published - May 2010 |
| Externally published | Yes |
Keywords
- Point process
- Point source intervention
- Spatial distribution
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty