Calculates the posterior mean and variance of the Semi-Modular Posterior predictive distribution
1 2 3 4 5 6 7 8 9 10 | SMI_pred_biased_data(
Z,
Y,
sigma_z,
sigma_y,
sigma_phi,
sigma_theta,
sigma_theta_tilde,
eta = 1
)
|
Z |
Data sampled from the unbiased module |
Y |
Data sampled from the unbiased module |
sigma_z |
Likelihood std dev for Z |
sigma_y |
Likelihood std dev for Y |
sigma_phi |
Prior std dev for phi |
sigma_theta |
Prior std dev for theta |
sigma_theta_tilde |
Prior std dev for theta |
eta |
Degree of influence of the unbiased module into phi |
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