The Effects of Traffic Composition on Freeway Crash Frequency by Injury Severity: A Bayesian Multivariate Spatial Modeling Approach

Table 4

Hyperparameter estimates in the bivariate CAR model.

Hyperparameter	Mean	S.D.	80%BCI	90%BCI	95%BCI
	0.12	0.04	(0.08, 0.17)	(0.07, 0.19)	(0.06, 0.22)
	0.25	0.12	(0.13, 0.41)	(0.11, 0.48)	(0.09, 0.54)
	0.01	0.05	(-0.05, 0.07)	(-0.06, 0.09)	(-0.07, 0.11)
	0.06	0.25	(-0.28, 0.39)	(-0.36, 0.47)	(-0.43, 0.53)
	0.17	0.08	(0.09, 0.28)	(0.08, 0.32)	(0.07, 0.37)
	0.32	0.21	(0.13, 0.59)	(0.11, 0.75)	(0.09, 0.87)
	0.02	0.09	(-0.08, 0.13)	(-0.11, 0.18)	(-0.15, 0.23)
	0.06	0.33	(-0.38, 0.49)	(-0.50, 0.58)	(-0.58, 0.65)
	0.64	0.05	(0.58, 0.70)	(0.56, 0.72)	(0.55, 0.73)
	0.68	0.06	(0.61, 0.76)	(0.58, 0.78)	(0.57, 0.79)

BCI: Bayesian credible interval.
Boldface indicates statistical significance at the corresponding credibility level.