Table 1 Parameters for the point generation under three models
Model | Mean vectors | Covariance matrices | Distributions’ hyperparameters |
|---|---|---|---|
Fixed means and covariances | μ1=0·1d, μ2=0.445·1d | Σ1=Σ2=0.23·Id | — |
Gaussian means and fixed covariances | \(\mu _{1} \sim \mathrm {N}\left (m_{1},\frac {1}{\nu _{1}}\Sigma _{1}\right)\), \(\mu _{2} \sim \mathrm {N}\left (m_{2},\frac {1}{\nu _{2}}\Sigma _{2}\right)\) | Σ1=Σ2=0.28·Id | m1=0·1d, m2=0.45·1d, |
ν1=30, ν2=5 | |||
Gaussian means and inverse-Wishart covariances | \(\mu _{1} \sim \mathrm {N}\left (m_{1},\frac {1}{\nu _{1}}\Sigma _{1}\right)\), \(\mu _{2} \sim \mathrm {N}\left (m_{2},\frac {1}{\nu _{2}}\Sigma _{2}\right)\) | Σ1∼IW(κ1,Ψ1),Σ2∼IW(κ2,Ψ2) | m1=0·1d, m2=0.45·1d, |
ν1=30, ν2=5, | |||
Ψ1=Ψ2=20.7·Id, | |||
κ1=κ2=75 |