Consider random variable Y with a Poisson distribution: P ( y | θ ) =...
Consider random variable with a Poisson distribution:
Mean and variance of given are both equal to . Assume that .
If we impose the prior , then what is the Bayesian posterior mode?
I was able to calculate the likelihood and the posterior, but I'm having trouble calculating the mode so I'm wondering if I got the right posterior: