The probability p of an event is supposed to have a prior distribution
Beta(a,B) so that its prior density is
f(p) = [B(α, β)]^-1 p^(α-1) (1-p)^(β-1)
Show that for any constant d,
E[p(1-p)(p-d)2] is minimised wwhen d = (α+1) / (α+β+2)
_____
So far iv got
E[p(1-p)(p-d)2] = ∫ p(1-p)(p-d)2 f(p) dp
= ∫ [B(α, β)]^-1 p^α (1-p)^β (p-d)^2 dp
= [B(α, β)]^-1 ∫ p^α (1-p)^β (p-d)^2 dp
Any help will be appreciated
Thanks a lot

