Le Cam's theorem is a fundamental result in the field of statistical decision theory, specifically in the context of asymptotic statistics. It provides insights into the behavior of statistical procedures as the sample size grows. Theorem can be discussed in different contexts, but it is often related to the asymptotic equivalence of different statistical models.
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