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Table 5 Motor vehicle theft (MVT) inference—summary statistics for regression parameters for MVTs between 2009 and 2013

From: Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression

Parameter Posterior mean Posterior SD 95% Credible Interval
Population density 1.81 0.15 [1.52, 2.10]
Percentage of separated males 1.29 0.11 [1.06, 1.51]
Percentage of people Cert 1 or 2 0.78 0.13 [0.52, 1.02]
Median rent 0.70 0.27 [0.14, 1.22]
Percentage of unemployment 0.39 0.16 [0.09, 0.72]
Percentage of English speaking only 0.21 0.17 [− 0.10, 0.56]
Percentage of people with no religion 0.19 0.11 [− 0.01, 0.42]
Median mortgage monthly repay 0.16 0.32 [− 0.50, 0.79]
Number of families with lone parent − 0.42 0.16 [− 0.73, − 0.10]
Median total household income − 0.47 0.21 [− 0.87, − 0.05]
Median age − 0.98 0.15 [− 1.27, − 0.69]
Percentage of immigrants − 1.20 0.18 [− 1.54, − 0.84]
  1. The table shows the regression coefficient’s posterior mean, SD and 95% credible intervals. Rows are sorted based on descending posterior mean