means are the 
BLUP estimates (same as Ridge Regression).</p>
<p>Bayes L: Assigning a double-exponential or Laplace prior is the density used in 
the Bayesian LASSO</p>
<p>Bayes A: similar to ridge regression but t-distribution prior (rather than Gaussian) 
for the marker effects ; variance comes from an inverse-chi-square distribution instead of being fixed. Estimation 
via Gibbs sampling.</p>
<p>Bayes C: uses a “rounded spike” (low-variance Gaussian) at origin many small 
effects can contribute to pol