Open lbaumo opened 1 year ago
do we want to absorb \sigma_m^2 term in the covariance matrix as was done at the end of appendix B, or do we want m to be a free parameter with a Gaussian prior with a variance of \sigma_m^2
might be good to leave it as free parameter.
do we want to absorb \sigma_m^2 term in the covariance matrix as was done at the end of appendix B, or do we want m to be a free parameter with a Gaussian prior with a variance of \sigma_m^2