why use a prior over the parameters regression? why not use a prior or gaussian why is gpr always gaussian why always use a gaussian prior what is the gaussian prior why is it important to use a prior to a distribution why do you use gaussian prior why is gpr always a priori why gaussian prior or a prior why do we use p value over the parameter why use gaussian prior why use gaussian prior why gaussian prior why use a prior over parameters why use gaessian prior over the parameters why should we use a prior over the parameters why is gpr used for a priori when to use a prior over the parameters why does gpr always use gaussian why use a priori in gpr regression