Table 5

Performance of traditional and Bayesian models in inference and prediction for 295 simulated “BSabm_s” models

				BayesDiallel
Simulated component		Griffing linear model		Standard normal model				Outlier model
								Full model			BayesSpike:
		GCA:	GCA + SCA:	Full model:	True model:	Full hglm fit:	BayesSpike:	d.f. = 3:	d.f. = 6:	d.f. = 15:	d.f. = 6:
Name	Discrepancy	“a”	“av”	“B_sSa_sb_s m_sv_sw_s”	“B_sSa_sb_s m_sv_sw_s”	“B_sSa_sb_s m_sv_sw_s”	—	“B_sSa_sb_s m_sv_sw_sO₃”	“B_sSa_sb_s m_sv_sw_sO₆”	“B_sSa_sb_sm_s v_sw_sO₁₅”	—
Additive (a)		9.42	288.41	7.25	6.85	6.73	7.31	8.20	7.60	7.36	7.67
Additive (a)		(3.2, 18.3)	(177.5, 406.3)	(2, 15.3)	(1.9, 14.4)	(2, 14.7)	(2, 15.3)	(2, 17.4)	(1.8, 16.1)	(1.8, 15.5)	(1.8, 16.3)
Inbreeding (b)		255.86	—^{^b}	113.20	110.82	91.21	144.65	118.66	116.03	113.85	147.12
Inbreeding (b)		—^{^b}	—^{^b}	(28.7, 216.6)	(27.8, 216.2)	(23.9, 202.1)	(31.8, 255.9)	(30.5, 221.7)	(30.4, 218.5)	(27.6, 218.3)	(33.9, 255.9)
Maternal (m)		92.10	—^{^b}	5.45	5.33	5.33	5.43	6.05	5.63	5.47	5.60
Maternal (m)		—^{^b}	—^{^b}	(1.2, 11.9)	(1.1, 12)	(1.1, 11.8)	(1.2, 12.1)	(1.5, 12.3)	(1.4, 12)	(1.4, 12.3)	(1.3, 11.8)
Sex-specific maternal (m_s)		326.16	—^{^b}	20.35	20.13	20.14	20.46	22.69	21.09	20.46	21.29
Sex-specific maternal (m_s)		—^{^b}	—^{^b}	(5.2, 47.2)	(5, 47.5)	(5, 46.6)	(5.4, 48.8)	(5, 51.8)	(6.2, 49.5)	(6.1, 48.9)	(6.1, 49.8)
Prediction MSE^{^a}		173.68	326.71	126.60	125.95	126.79	131.72	127.71	126.99	126.68	132.03
Prediction MSE^{^a}		(171.4, 175.9)	(323.2, 330)	(124.8, 128.3)	(124.3, 127.7)	(125, 128.6)	(130, 133.5)	(126, 129.5)	(125.3, 128.7)	(124.9, 128.5)	(130.3, 133.8)

↵a Mean and 95% confidence interval of MSEs from 300 independent simulation experiments.
↵b These parameters are not explicitly modeled by the tested procedure.