All,
I am interested in general nonparametric procedures that can be
used for prediction bounds, for relatively non-standard regression
procedures. My immediate problem relates to partial least squares
but I am interested in general strategies. Bounds might be based
on use of bootstrap or cross-validation to adjust some relatively
crude approximation.
regards,
Farrar
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