TABLE 2.

The estimated posterior means (Mean) and modes (Mode) of the recombination fractions (θ₁, … , θ₇), under the simulated marker order, from the Bayesian analysis of data sets 8-F, 8-M, 1-F, and 1-M

			Recombination fractions
Data set	Implementation		1	2	3	4	5	6	7
8-F	MCMC	True	0.15	0.11	0.12	0.07	0.09	0.04	0.11
Mean	0.15 (6.3)	0.11 (3.8)	0.12 (4.2)	0.08 (2.5)	0.09 (2.8)	0.04 (1.7)	0.11 (3.5)
CRI-MAP	Mode	0.15 (6.4)	0.11 (3.8)	0.12 (4.2)	0.07 (2.5)	0.09 (2.9)	0.04 (1.6)	0.11 (3.6)
MLE	0.13 (6.9)	0.10 (3.4)	0.11 (4.3)	0.07 (2.0)	0.08 (2.8)	0.04 (1.3)	0.10 (3.5)
8-M	MCMC	True	0.15	0.11	0.12	0.07	0.09	0.04	0.11
Mean	0.16 (15.9)	0.12 (8.2)	0.13 (8.6)	0.08 (5.4)	0.10 (5.3)	0.05 (3.7)	0.11 (6.5)
CRI-MAP	Mode	0.16 (13.5)	0.11 (7.5)	0.13 (7.9)	0.08 (5.0)	0.09 (5.0)	0.04 (3.4)	0.11 (6.2)
MLE	0.12 (23.9)	0.08 (13.2)	0.10 (14.5)	0.06 (7.5)	0.07 (10.1)	0.03 (4.7)	0.08 (11.9)
1-F	MCMC	True	0.02	0.01	0.01	0.01	0.01	0.00	0.01
Mean	0.02 (0.7)	0.01 (0.4)	0.02 (0.5)	0.01 (0.3)	0.01 (0.4)	0.01 (0.2)	0.01 (0.4)
CRI-MAP	Mode	0.02 (0.7)	0.01 (0.4)	0.01 (0.5)	0.01 (0.2)	0.01 (0.3)	0.00 (0.1)	0.01 (0.3)
MLE	0.02 (0.6)	0.01 (0.3)	0.01 (0.4)	0.01 (0.2)	0.01 (0.3)	0.00 (0.1)	0.01 (0.4)
1-M	MCMC	True	0.02	0.01	0.01	0.01	0.01	0.00	0.01
Mean	0.02 (1.7)	0.02 (1.1)	0.02 (3.1)	0.01 (2.5)	0.02 (9.4)	0.01 (1.3)	0.02 (0.7)
CRI-MAP	Mode	0.01 (1.3)	0.01 (0.7)	0.02 (2.1)	0.01 (1.7)	0.01 (7.4)	0.01 (0.7)	0.01 (0.6)
		MLE	0.01 (1.8)	0.01 (1.0)	0.01 (1.0)	0.01 (0.5)	0.01 (0.7)	0.00 (0.3)	0.01 (0.3)

For comparison, average maximum-likelihood estimates (MLEs) obtained via CRI-MAP are also given. The accuracy of the estimator is measured via the mean square error (MSE × 10⁶).