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Brandt (2017) applies interval predictor models to fatigue damage estimation of offshore wind turbines jacket substructures.<ref name="BrandtBroggi2017">{{cite journal|last1=Brandt|first1=Sebastian|last2=Broggi|first2=Matteo|last3=Hafele|first3=Jan|last4=Guillermo Gebhardt|first4=Cristian|last5=Rolfes|first5=Raimund|last6=Beer|first6=Michael|title=Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures|journal=Procedia Engineering|volume=199|year=2017|pages=1158–1163|issn=1877-7058|doi=10.1016/j.proeng.2017.09.292|doi-access=free}}</ref>
Garatti (2019) proved that Chebyshev layers (i.e., the minimax layers around functions fitted by linear <math>\ell_\infty</math>-regression) belong to a particular class of Interval Predictor Models, for which the reliability is invariant with respect to the distribution of the data.<ref name="GarCamCar2019">{{cite journal|last1=Garatti|first1=S.|last2=Campi|first2=M.C.|last3=Carè|first3=A.|title=On a class of Interval Predictor Models with universal reliability|journal=Automatica|volume=110|year=2019|page=108542|issn=0005-1098|doi=10.1016/j.automatica.2019.108542|hdl=11311/1121161 |s2cid=204188183 |hdl-access=free}}</ref>
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