1. For a discrete process convolution model with unknown kernel parameters, linear trend, and inverse gamma priors on the variance parameters, write the full conditionals and indicate how to perform the calculations needed to sample from them. In matrix form, we have y = X(s)β + K(s, ψ)w + , where x(s i) is the i-th row of X(s), K ij = k ij = k(s i − u j ; ψ). With the assumption that p(w, β, τ...