Table 2.

Split calculation for the annealing model-switch integration.

δβ	Integration interval	Q.E.	σd	σs	total error
0.0001	0.00–0.01	-71.7	1.0	0.5	1.8
0.0001	0.01–0.02	-16.8	0.1	0.2	0.4
0.0002	0.02–0.04	-8.8	0.0	0.2	0.4
0.0002	0.04–0.06	0.8	0.0	0.2	0.3
0.0002	0.06–0.08	5.5	0.0	0.1	0.2
0.0002	0.08–0.10	7.9	0.0	0.1	0.2
0.001	0.10–0.20	57.3	0.1	0.4	0.7
0.001	0.20–0.30	68.9	0.0	0.2	0.4
0.001	0.30–0.40	74.3	0.0	0.2	0.3
0.001	0.40–0.50	77.8	0.0	0.2	0.3
0.001	0.50–0.60	80.6	0.0	0.1	0.2
0.001	0.60–0.70	82.1	0.0	0.1	0.2
0.001	0.70–0.80	83.9	0.0	0.1	0.2
0.001	0.80–0.90	87.0	0.0	0.2	0.3
0.0002	0.90–0.92	17.9	0.0	0.0	0.1
0.0002	0.92–0.94	18.0	0.0	0.0	0.1
0.0002	0.94–0.96	18.4	0.0	0.1	0.1
0.0002	0.96–0.98	19.1	0.0	0.1	0.2
0.0001	0.98–0.99	10.3	0.0	0.1	0.2
0.0001	0.99–1.00	18.1	0.3	0.5	1.1
Total	0.00–1.00	630.7	1.6	3.6	7.5
Composite Run log Bayes Factor: 630.7
Composite Run Confidence Interval: [623.2; 638.2]

Using a constant number of Q = 200 iterations per β, the contribution of each integration interval to the Bayes Factor value was calculated on a separate processor. This leads to an improved approximation of the contribution for the intervals [0.0; 0.1] and [0.9; 1.0] and also decreases the width of the confidence interval from 42.6 to 15.0 The increment δβ was allowed to change and Q = 200 iterations were performed for each value of β. Q.E. is the quasistatic estimator for each integration interval with discrete and sampling error denoted by σ_d and σ_s, respectively.