Abstract:Chemometric methods are broadly used in the chemical
and biochemical
sectors. Typically, derivation of a regression model follows data
preprocessing in a sequential manner. Yet, preprocessing can significantly
influence the regression model and eventually its predictive ability.
In this work, we investigate the coupling of preprocessing and model
parameter estimation by incorporating them simultaneously in an optimization
step. Common model selection techniques rely almost exclusively on
the performance of som… Show more
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