Hájek–Le Cam convolution theorem

The Hjelm Le Cam theorem in statistics is a result in population inference theory that states that the variance of a function can be decomposed into an additive and multiplicative component, which can be described by a convolution theorem.

The theorem provides a characterization of the variance of a function as a sum of its additive and multiplicative components.

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