Table 11 (Ex-Sect-9.6.2). MSE for different techniques and different dimensions D=d Z +1 of the inference problem (number of hyper-parameters), with T=20 and N G =1000 for both schemes
Algorithm | D=2 | D=4 | D=6 | D=8 | D=10 |
|---|---|---|---|---|---|
SCAM within-Gibbs | 0.0452 | 0.3013 | 1.61 | 2.87 | 4.68 |
AISM-P4-R3 within-Gibbs | 0.0170 | 0.1521 | 0.5821 | 1.33 | 2.67 |