Skip to main content

Table 4 Burglaries inference—summary statistics for regression parameters for burglaries between 2009 and 2013

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

Parameter Posterior mean Posterior SD 95% Credible Interval
Percentage of unemployment 1.19 0.15 [0.89, 1.49]
Percentage of people Cert 1 or 2 0.98 0.12 [0.73, 1.21]
Percentage of separated males 0.83 0.11 [0.62, 1.05]
Population density 0.72 0.14 [0.46, 1.01]
Percentage of English speaking only 0.45 0.17 [0.13, 0.80]
Median total household income 0.24 0.20 [− 0.17, 0.62]
Percentage of people with no religion 0.07 0.11 [− 0.14, 0.28]
Median mortgage monthly repay 0.05 0.29 [− 0.54, 0.64]
Number of families with lone parent − 0.23 0.16 [− 0.55, 0.06]
Median age − 0.32 0.14 [− 0.63, − 0.05]
Median rent − 0.63 0.25 [− 1.12, − 0.12]
Percentage of immigrants − 0.82 0.17 [− 1.15, − 0.47]
  1. The table shows the regression coefficient’s posterior mean, SD and 95% credible intervals. Rows are sorted based on descending posterior mean