Show that Theorem 20.3 can also be proved via the truncation argument which we have used in Theorem 10.2.
Prove that the result of Theorem 20.3 still holds if the smoothing parameter λn of the penalized least squares estimate depends on the data and (20.19) and (20.20) hold with probability one.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here