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Posterior mean and posterior variance (in parentheses) of ρj and 
from the BAYES analysis for the second simulation experiment
| Parameter
|
|||
|---|---|---|---|
| Marker | ρj |  |
|
| 1 | True | 0.040 | 9 |
| Estimate | 0.042 (2.9E-5) | 5.72 (3.3E-4) | |
| 3 | True | 0.004 | 9 |
| Estimate | 0.005 (6.1E-6) | 6.43 (1.1E-3) | |
| 6 | True | 0.040 | 9 |
| Estimate | 0.041 (3.7E-5) | 10.9 (2.1E-4) | |
| 10 | True | 0.050 | 9 |
| Estimate | 0.049 (4.5E-5) | 13.3 (2.9E-4) | |
The true σ2 is 0.01. The posterior mean and variance of σ2 are 0.01 and 3.8E-9, respectively.
