A Bayesian mixture model for detecting unusual time trends: Modelling burglary counts in Cambridge
Li, Guangquan and Richardson, Sylvia and Best, Nicky and Haining, Robert A Bayesian mixture model for detecting unusual time trends: Modelling burglary counts in Cambridge. In: Research Methods Festival 2010, 7 July 2010, Oxford. (Unpublished)
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DetectionCrime2010_GLi.pptx
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DetectionCrime2010_GLi.pptx
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Item Type: | Conference or Workshop Item (Lecture) |
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Subjects: | 5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling 5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis 5. Quantitative Data Handling and Data Analysis > 5.11 Time Series Analysis |
Depositing User: | BIAS user |
Date Deposited: | 05 Apr 2011 16:30 |
Last Modified: | 14 Jul 2021 13:54 |
URI: | https://eprints.ncrm.ac.uk/id/eprint/1708 |