Table 1  Prior density of marker effects, prior variance of marker effects, and suggested formulas for choosing hyperparameter values by model
ModelPrior varianceSolution for scale/variance parameter
Hyperparameters
Bayesian ridge regression
Bayesian LASSO
BayesA
Spike–slab
BayesC
BayesB
• where represents number of copies of the allele coded as one at the jth (j = 1,…,p) locus of the ith (i = 1,…,n) individual, and is the average genotype at the jth marker.