Pages that link to "Item:Q961714"
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The following pages link to Surveillance to detect emerging space-time clusters (Q961714):
Displaying 11 items.
- A space-time conditional intensity model for invasive meningococcal disease occurrence (Q58331) (← links)
- Editorial. Spatial statistics: methods, models \& computation (Q961710) (← links)
- Adaptive likelihood ratio approaches for the detection of space-time disease clusters (Q1623609) (← links)
- \textit{MAD-STEC}: a method for multiple automatic detection of space-time emerging clusters (Q1703826) (← links)
- An up-to-date review of scan statistics (Q2233594) (← links)
- Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster (Q2354738) (← links)
- Monitoring Point Patterns for the Development of Space–Time Clusters (Q4785398) (← links)
- Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance (Q4916442) (← links)
- Space-time border analysis to evaluate and detect clusters (Q6172586) (← links)
- Testing for local structure in spatiotemporal point pattern data (Q6626002) (← links)
- Spatio-temporal classification in point patterns under the presence of clutter (Q6626135) (← links)
