Introduction to Sensitivity Analysis

By Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola. 2008

306 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ddb8b7302cf310ef3ad7a3e2be463a762ef6e9dc

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In Statistics and Probability

1. Raquel Rodríguez-Pérez
2. Jürgen Bajorath
3. Giorgio Vittadini
4. G. Folloni

Citations in the corpus

• Human Capital Measurement: A Survey (2010, methodology): “Sensitivity analysis could be used to determine how ‘sensitive’ a latent HC model is to changes in the value of the parameters and in the structure of the model (Breierova and Choudari, 2001; Saltelli, 2009).”
• Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions (2020, methodology): “As a model-independent approach, sensitivity analysis can be used to investigate the influence of systematic feature value alterations on model performance [15].”
• SHAPLEY EFFECTS FOR SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISONS WITH SOBOL' INDICES, NUMERICAL ESTIMATION AND APPLICATIONS (2017, unknown): “When constructing and using numerical models simulating physical phenomena, global sensitivity analysis (SA) methods are valuable tools [1, 2, 3, 4].”