BaPC Matlab Toolbox: Bayesian Arbitrary Polynomial Chaos

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Sergey Oladyshkin (2026). BaPC Matlab Toolbox: Bayesian Arbitrary Polynomial Chaos (https://de.mathworks.com/matlabcentral/fileexchange/74006-bapc-matlab-toolbox-bayesian-arbitrary-polynomial-chaos), MATLAB Central File Exchange. Abgerufen 29. September 2026.

Oladyshkin, S., and W. Nowak. “Data-Driven Uncertainty Quantification Using the Arbitrary Polynomial Chaos Expansion.” Reliability Engineering & System Safety, vol. 106, Elsevier BV, Oct. 2012, pp. 179–90, doi:10.1016/j.ress.2012.05.002.

Oladyshkin, Sergey, and Wolfgang Nowak. “Incomplete Statistical Information Limits the Utility of High-Order Polynomial Chaos Expansions.” Reliability Engineering & System Safety, vol. 169, Elsevier BV, Jan. 2018, pp. 137–48, doi:10.1016/j.ress.2017.08.010.

Oladyshkin S., Class H. and Nowak W. Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations. Computational Geosciences, 17(4), 671-687, 2013. doi: 10.1007/s10596-013-9350-6.

Oladyshkin S., Schroeder P., Class H. and Nowak W. Chaos expansion based Bootstrap filter to calibrate CO2 injection models. Energy Procedia, 40, 398-407, 2013. doi: 10.1016/j.egypro.2013.08.046.