Table 2 Posterior summaries for regression and precision coefficients
From: Hierarchical Bayesian spatial models for alcohol availability, drug "hot spots" and violent crime
Parameter | Mean | Standard Deviation | Monte Carlo error | 2.5% | Median | 97.5% | Relative Risk |
|---|---|---|---|---|---|---|---|
intercept | -0.314 | 0.018 | 0.0003 | -0.351 | -0.314 | -0.279 | ---- |
% Population of male aged 15–24 | -0.174 | 0.034 | 0.0013 | -0.242 | -0.173 | -0.108 | 0.841 |
Alcohol outlet density | 0.152 | 0.032 | 0.0009 | 0.091 | 0.151 | 0.214 | 1.163 |
Drug-law violation density | 0.913 | 0.038 | 0.0023 | 0.832 | 0.914 | 0.986 | 2.494 |
Unstructured random effect | 10.63 | 5.387 | 0.258 | 5.489 | 9.181 | 24.89 | ---- |
Spatial dependence | 2.067 | 0.867 | 0.041 | 1.046 | 1.870 | 4.246 | ---- |