Mean squared prediction errors
Consider the problem of predicting Y using a function g of X, where X and Y are (possibly dependent) random variables. We want to minimize the mean squared error (MSE):
E [(Y − 9(X))²] .
We will look at various choices of g, in the particular case where Y = X³ + Z², where X and Z are independent Normal variables with mean 0 and variance 1
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