MISE: Approximate Mean Integrated Squared Error
Description
MISE for penalized sharpened regression based on trapezoid integration.
Usage
MISE(x, xgrid, sigma2, lambda, h, g, A, B)
Arguments
x
numeric explanatory vector
sigma2
numeric vector of variance(s)
lambda
numeric penalty constant
g
regression function, numeric-valued
A
numeric matrix, smoother
B
numeric matrix, based on penalty
Value
A vector containing the finite sample variance, squared bias,
and mean integrated squared error.