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Department of Informatics Visualization and Multimedia Lab

Publications

Tensor Methods for Global Sensitivity Analysis

 Renato Pajarola
Year: 2019
Research area:  
Type of Publication: Journal
Keywords: visualization, tensor approximation, data analytics, multidimensional data, sobol indices, sensitivity analysis, surrogate modeling
Book title:

 

Volume:  
Issue:  
Pages: to appear

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BibTeX

@misc{Pajarola:19,
Author = {Pajarola, Renato},
Howpublished = {Extended Abstract in Best of Data Science made in DE/AT/CH at INFORMATIK.2019},
Keywords = {visulization, tensor approximation, data analytics, multidimensional data, sobol indices, sensitivity analysis, surrogate modeling},
Month = {September},
Title = {Tensor Methods for Global Sensitivity Analysis},
Year = {2019}}

Weiterführende Informationen

Tensor Methods for Global Sensitivity Analysis

Tensor Methods for Global Sensitivity Analysis

Tensor Methods for Global Sensitivity Analysis