Fluorescence spectroscopy has emerged in recent years as an
effective way to detect cervical cancer. Investigation of the data
preprocessing stage uncovered a need for a robust smoothing to
extract the signal from the noise. We compare various robust
smoothing methods for estimating fluorescence emission spectra and
data driven methods for the selection of smoothing parameter. The
methods currently implemented in R for smoothing parameter selection
proved to be unsatisfactory and we present a computationally
efficient procedure that approximates robust leave-one-out cross
validation.
Keywords: Robust smoothing; Smoothing parameter selection; Robust cross
validation; Leave out schemes; Fluorescence spectroscopy