Back to 16.3 Problems on Conditional Independence, Given a Random Vector

16.3 Exercise 4

Avg difficulty 2.5

Let {Xi:1≤i≤n}\left\{X_{i} : 1 \leq i \leq n\right\} be a random sample, given H. Set W=(X1,X2,⋯,Xn)W = \left(X_{1} , X_{2} , \hdots , X_{n}\right). Suppose X conditionally Poisson (u)\left(u\right), given H=u; H = u; i.e., suppose P(X=k|H=u)=e-uuk/k!P \left(\right. X = k \left|\right. H = u \left.\right) = e^{- u} u^{k} / k !. If H∼H \sim gamma (m,λ)\left(m , \lambda\right), determine the best mean square estimator for H, given W.

Pfeiffer, Applied Probability, 16.3 Problems on Conditional Independence, Given a Random Vector, exercise 4

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Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.