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<ref name="FaesSadeghi2019">{{cite journal|last1=Faes|first1=Matthias|last2=Sadeghi|first2=Jonathan|last3=Broggi|first3=Matteo|last4=De Angelis|first4=Marco|last5=Patelli|first5=Edoardo|last6=Beer|first6=Michael|last7=Moens|first7=David|title=On the robust estimation of small failure probabilities for strong non-linear models|journal=ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering|volume=5|issue=4|year=2019|issn=2332-9017|doi=10.1115/1.4044044}}</ref>
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=18777058|doi=10.1016/j.proeng.2017.09.292|doi-access=free}}</ref>
== Software implementations ==
PyIPM provides an [[open source|open-source]] Python implementation of the work of Crespo (2015).<ref>{{cite journal|doi=10.5281/zenodo.2784750|title=PyIPM|year=2019|last1=Sadeghi|first1=Jonathan}}</ref>
OpenCOSSAN provides a Matlab implementation of the work of Crespo (2015).<ref name="PatelliBroggi2017" />
== References ==
{{Reflist}}
== External Links ==
*[https://github.com/Roberock/ScenarioIPM An open source MATLAB tutorial on Interval Predictor Models]
[[Category:Regression analysis| ]]
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