I am trying to adjust penalty, lambda, in group lasso regression, but I have no idea about it.
I am wondering is there any theory or rule about maximum and minimum value of lambda based on x, input, and y, response?
I need an automatic procedure to determine the minimum and maximum value of penalty b/c I have more than 10 thousands of response variables
which regress on more than 500 independent variables
.
I appreciate if anyone can help me, I am new in regression field.
Thanks.