In probability theory, Le Cam's theorem, named after Lucien Le Cam, states the following. Suppose: X 1 , X 2 , X 3 , … {\displaystyle X_{1},X_{2},X_{3},\ldots } are independent random variables, each with a Bernoulli distribution (i.e., equal to either 0 or 1), not necessarily identically distributed.
In probability theory, Le Cam's theorem, named after Lucien Le Cam, states the following. Suppose: X 1 , X 2 , X 3 , … {\displaystyle X_{1},X_{2},X_{3},\ldots } are independent random variables, each with a Bernoulli distribution (i.e., equal to either 0 or 1), not necessarily identically distributed.
Source: Wikipedia "Le Cam's theorem" · CC BY-SA 4.0
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