Mean coverage values for 40 simulations of fitting the contour distribution for with different number of observed contours sampled as training data
Nominal . | N = 10 . | N = 20 . | N = 50 . |
---|---|---|---|
0.80 | 0.87 (0.04) | 0.79 (0.07) | 0.76 (0.06) |
0.90 | 0.94 (0.04) | 0.89 (0.05) | 0.86 (0.05) |
0.95 | 0.98 (0.02) | 0.95 (0.03) | 0.93 (0.04) |
Nominal . | N = 10 . | N = 20 . | N = 50 . |
---|---|---|---|
0.80 | 0.87 (0.04) | 0.79 (0.07) | 0.76 (0.06) |
0.90 | 0.94 (0.04) | 0.89 (0.05) | 0.86 (0.05) |
0.95 | 0.98 (0.02) | 0.95 (0.03) | 0.93 (0.04) |
Notes: In each simulation, evenly spaced test lines were evaluated with . SDs across the test lines are given in parentheses. Priors and Markov chain Monte Carlo details are given in Section 5.1.
Mean coverage values for 40 simulations of fitting the contour distribution for with different number of observed contours sampled as training data
Nominal . | N = 10 . | N = 20 . | N = 50 . |
---|---|---|---|
0.80 | 0.87 (0.04) | 0.79 (0.07) | 0.76 (0.06) |
0.90 | 0.94 (0.04) | 0.89 (0.05) | 0.86 (0.05) |
0.95 | 0.98 (0.02) | 0.95 (0.03) | 0.93 (0.04) |
Nominal . | N = 10 . | N = 20 . | N = 50 . |
---|---|---|---|
0.80 | 0.87 (0.04) | 0.79 (0.07) | 0.76 (0.06) |
0.90 | 0.94 (0.04) | 0.89 (0.05) | 0.86 (0.05) |
0.95 | 0.98 (0.02) | 0.95 (0.03) | 0.93 (0.04) |
Notes: In each simulation, evenly spaced test lines were evaluated with . SDs across the test lines are given in parentheses. Priors and Markov chain Monte Carlo details are given in Section 5.1.
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