Now, let us consider a discrete situation. Suppose that the observation y follows a Poisson distribution with mean θ. Furthermore, the prior for θ is proportional to exp(ν log θ − ηθ); that is,

π(θ) ∝ exp{ν log(θ) − ηθ}, where η, ν are some hyperparameters. What is the posterior of θ?