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Likelihood-free hypothesis testing

By Patrik Róbert Gerber and Yury Polyanskiy
Consider the problem of binary hypothesis testing. Given Z coming from either \mathbb P^{\otimes m} or \mathbb Q^{\otimes m}, to decide between the two with small probability of error it is sufficient, and in many cases necessary, to have m\asymp1/\epsilon^2, where \epsilon measures the separation between \mathbb P and $\mathbb... Show more
March 8, 2024
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Likelihood-free hypothesis testing
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