Table 3:

Comparison of prediction on the 2-D XRD data using the Gaussian and spatial horseshoe (SHS) models with k_a basis functions in the angle and k_r basis functions in the radius (SHS1-SHS6). Methods are compared using 100×(root mean squared error-1) as RMSE, coverage (%) and computing time per 100 iterations in minutes.

Model	ka	kr	RMSE		Coverage (%)		Computing time (mins)
			Estimate	SE	Estimate	SE
Gaussian	-	-	3.64	0.08	94.72	0.02	2.78
SHS1	4	10	3.59	0.08	94.78	0.02	6.57
SHS2	4	25	3.57	0.08	94.79	0.02	9.91
SHS3	4	50	3.55	0.08	94.80	0.03	17.45
SHS4	4	100	3.54	0.08	94.80	0.02	41.61
SHS5	8	5	3.56	0.08	94.80	0.02	7.38
SHS6	8	25	3.50	0.09	94.84	0.02	8.62