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Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime - MaRDI portal

Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime (Q5255683)

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scientific article; zbMATH DE number 6446511
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Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime
scientific article; zbMATH DE number 6446511

    Statements

    Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime (English)
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    17 June 2015
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    beta process
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    Bayes factors
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    nonparametric
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    dependent Dirichlet process
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    particle learning
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    sequential Monte Carlo
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    stick-breaking
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    time-dependence
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    mapping crime
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