Let (left{X_{n}ight}_{n=1}^{infty}) and (left{Y_{n}ight}_{n=1}^{infty}) be sequences of independent random variables. Suppose that (Y_{n}) is a (operatorname{POISSON}(theta)) random

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Let \(\left\{X_{n}ight\}_{n=1}^{\infty}\) and \(\left\{Y_{n}ight\}_{n=1}^{\infty}\) be sequences of independent random variables. Suppose that \(Y_{n}\) is a \(\operatorname{POISSON}(\theta)\) random variable where \(\theta\) is a positive real number. Suppose further that, conditional on \(Y_{n}\), the random variable \(X_{n}\) has a \(\operatorname{Binomial}\left(Y_{n}, \tauight)\) distribution for all \(n \in \mathbb{N}\) where \(\tau\) is a fixed real number in the interval \([0,1]\). Prove that \(X_{n}=O_{p}\left(Y_{n}ight)\) as \(n ightarrow \infty\).

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