📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance (2012)

First Author: Rodrigues A

Attributed to: The Lancaster-Warwick-Stirling node: Developing statistical modelling in the social sciences Phase 2 funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/01621459.2011.644496

Publication URI: http://dx.doi.org/10.1080/01621459.2011.644496

Type: Journal Article/Review

Parent Publication: Journal of the American Statistical Association

Issue: 497