Question: In a Bayesian analysis where 0 is a real valued parameter and x is data, we have: g(0|x) = f(x 0)g(e) f(x) Where f (x|0) and g(0) are known, but f (x) is difficult to get (so we can't find g(0|x) analytically). Consider that we have a Markov chain over the same state space as 0 where p(0,+1|0,) is proportional to (On+1-On)2 e 2 la) Given 87, find the distribution used to generate On+1 in the mentioned Markov chain. Describe that distribution with all the necessary parameters needed for it