Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
we have no reason to prefer one range of parameters [a, b] over another range of the same width [t + a, t + b] because they will be equivalently placed relative to the likelihood curve if the observed data translates by t. Now, let’s return to picking our priors. Picking Regularized Bayesian Linear