Question: [Chernoff Bounds] Recall that, a random variable X must satisfy the Chernoff bound derived by applying Markov's inequality to Y = e tX: Pr(X x)
[Chernoff Bounds] Recall that, a random variable X must satisfy the Chernoff bound derived by applying Markov's inequality to Y = e tX: Pr(X x) mint{MX(t)e tx} (2) (a) A Gamma random variable with parameters k and can be expressed as a sum of k i.i.d. exponential random variables with parameter . Use the sum property of MGF's to find the MGF of the Gamma density with parameters k and . (b) Use Chernoff to find an upper bound on Pr(X > x) if X is a Gamma random variable with parameters k and
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