A Bayesian Aoristic Logistic Regression to Model Spatio-Temporal Crime Risk Under the Presence of Interval-Censored Event Times

PurposeCrime data analysis has gained significant interest due to its peculiarities. One key characteristic of property crimes is the uncertainty surrounding their exact temporal location, often limited to a time window.MethodsThis study introduces a spatio-temporal logistic regression model that ad...

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Bibliographische Detailangaben
1. VerfasserIn: Briz-Redón, Álvaro (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2024
In: Journal of quantitative criminology
Jahr: 2024, Band: 40, Heft: 3, Seiten: 621-644
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Schlagwörter:
Temporal uncertainty
Spatio-temporal models
Data imputation
Crime Data
Censored data
Bayesian statistics