Print Email Facebook Twitter The costs of complex model optimization Title The costs of complex model optimization Author Rubingh, C.M. Martens, H. van der Voet, H. Smilde, A.K. Publication year 2013 Abstract Each data-driven action in data modelling consumes degrees of freedom, whether it concerns estimation of parameters, estimation of meta-parameters or selecting variables. By using a double cross validation approach for degrees of freedom calculation the costs for meta-parameter estimation and variable selection can be determined explicitly. The only assumptions are independent and identically distributed errors, which make the approach applicable to many predictive modelling techniques. © 2013. Subject LifeQS - Quality & SafetyEELS - Earth, Environmental and Life SciencesBiomedical InnovationBiologyHealthy LivingDegrees of freedomMeta-parameter estimationModel optimizationVariable selection To reference this document use: http://resolver.tudelft.nl/uuid:f2be4366-bbcb-474d-9abc-2763fa63dc13 DOI https://doi.org/10.1016/j.chemolab.2013.04.004 TNO identifier 472349 ISSN 0169-7439 Source Chemometrics and Intelligent Laboratory Systems, 125, 139-146 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.