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 (Unpublished)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
ID Code:1452
Deposited By: Mr Jon Earley
Deposited On:12 Oct 2010 14:47
Last Modified:12 Oct 2010 14:47

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