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Department of Informatics Visualization and Multimedia Lab

Publications

Sobol Tensor Trains for Global Sensitivity Analysis

Rafael Ballester, Enrique G. Paredes and Renato Pajarola.
Year: 2019
Research area: High-dimensional learning and visualization
Type of Publication: Journal
Keywords: surrogate modeling, sensitivity analysis, Sobol indices
Book title:

Reliability Engineering and System Safety

Volume: 183
Issue: 311-322
Pages: to appear

Download (PDF, 3 MB) (official version here)

BibTeX

@article{BPP:19,
Author = {Ballester-Ripoll, Rafael and Paredes, Enrique G. and Pajarola, Renato},
Doi = {https://doi.org/10.1016/j.ress.2018.11.007},
Journal = {Reliability Engineering and System Safety},
Keywords = {visualization, data analytics, tensor approximation, multidimensional data, surrogate modeling, sobol indices, sensitivity analysis},
Month = {March},
Pages = {311--322},
Title = {Sobol Tensor Trains for Global Sensitivity Analysis},
Volume = {183},
Year = {2019}}

Weiterführende Informationen

Sobol Tensor Trains for Global Sensitivity Analysis

Sobol Tensor Trains for Global Sensitivity Analysis