A Bayesian mixture model for detecting unusual time trends: modelling burglary counts in Cambridge
Li, Guangquan (2010) A Bayesian mixture model for detecting unusual time trends: modelling burglary counts in Cambridge. In: NCRM Research Methods Festival 2010, 5th - 8th July 2010, St. Catherine's College, Oxford. (Unpublished)
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| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 1. Frameworks for Research and Research Designs > 1.3 Exploratory Research 5. Quantitative Data Handling and Data Analysis 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: | Mr Jon Earley |
| Date Deposited: | 12 Oct 2010 14:47 |
| Last Modified: | 14 Jul 2021 13:53 |
| URI: | https://eprints.ncrm.ac.uk/id/eprint/1452 |
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