\fPart A: You have recently learned about Gaussian processes. You think they are the coolest things ever. So you decide to represent the above model as a Gaussian process. What is the mean function m() and a kernel function K [-. -) that represents the above model as a Gaussian process of the form 3; ~ GP(m{-). K{-. -]I). In other words. nd 171 and X such that the GP model matches the marginal distribution of your friends proposed Bayesian model