A Bayesian Hierarchical Model for the Spatial Analysis of Carbon Monoxide Pollution Extremes in Mexico City

Table 3

Estimated parameters for the posterior distribution and the latent process. The estimation corresponds to the posterior mean and its corresponding credible interval of 95%, which is shown in parenthesis.

	2.07 (1.31, 13.01)	−1.31 (−1.36,-1.25)	−0.2871 (−6.26, 5.63)	6.44 (1.38, 9.81)	3.66 (0.7198, 10.48)
	13.12 (9.23, 14.74)	0.0388 (−0.7719, 0.8598)	0.0707 (−1.77, 1.88)	0.9604 (0.3774, 2.27)	2.80 (0.8232, 6.20)
	−0.0566 (−0.9578, 0.8256)	—	—	0.2105 (0.0918, 0.4560)	7.26 (2.29, 15.67)