%0 Journal Article %1 kohlhaas2023gaussian %A Kohlhaas, Rebecca %A Kröker, Ilja %A Oladyshkin, Sergey %A Nowak, Wolfgang %D 2023 %J Computational Geosciences %K %T Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark

@article{kohlhaas2023gaussian, added-at = {2023-02-16T12:06:26.000+0100}, author = {Kohlhaas, Rebecca and Kr{\"o}ker, Ilja and Oladyshkin, Sergey and Nowak, Wolfgang}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/220dc1a04c569b2815ba5b4b8fb9fd06a/sscheurer}, interhash = {4a4d39ac2ebe3b6b56c609177ca4245a}, intrahash = {20dc1a04c569b2815ba5b4b8fb9fd06a}, journal = {Computational Geosciences}, keywords = {}, timestamp = {2023-02-16T11:06:26.000+0100}, title = {Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark}, year = 2023 }