no I'm going to use some other kind of prior and now I have to do some numerical optimization to find the maximum likely or maximum a posteriori estimate because it's not closed for him anymore so if typically we'll make a trade-off between convenience and precision of the prior that you are imposing your problem you can do the same thing for conditional linear gosh you can have priors they're gonna priors over the linear coefficient a but more general kind of priors of the matrix there goes some X to Y or from XT to XT plus one