From: Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression
Parameter | Posterior mean | Posterior SD | 95% Credible Interval |
---|---|---|---|
Percentage of separated males | 1.40 | 0.10 | [1.20, 1.59] |
Population density | 0.96 | 0.13 | [0.68, 1.20] |
Percentage of unemployment | 0.70 | 0.14 | [0.42, 0.98] |
Percentage of English speaking only | 0.65 | 0.14 | [0.37, 0.94] |
Percentage of people Cert 1 or 2 | 0.53 | 0.11 | [0.32, 0.75] |
Number of families with lone parent | 0.23 | 0.14 | [− 0.04, 0.53] |
Median total household income | − 0.09 | 0.18 | [− 0.45, 0.28] |
Percentage of immigrants | − 0.19 | 0.15 | [− 0.45, 0.14] |
Percentage of people with no religion | − 0.49 | 0.09 | [− 0.68, − 0.31] |
Median mortgage monthly repay | − 0.66 | 0.28 | [− 1.22, − 0.10] |
Median rent | − 0.91 | 0.24 | [− 1.40, − 0.43] |
Median age | − 1.05 | 0.13 | [− 1.29, − 0.77] |