2025

2024

2023

2022

Puy, Arnald, Pierfrancesco Beneventano, Simon A. Levin, Samuele Lo Piano, Tommaso Portaluri, and Andrea Saltelli. 2022. ‘Models with Higher Effective Dimensions Tend to Produce More Uncertain Estimates’. Science Advances 8 (eabn9450).

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Number-crunching math models may give policy makers major headache
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Les modèles mathématiques de calcul numérique peuvent donner des maux de tête aux décideurs politiques
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Zahlenverarbeitende mathematische Modelle können politischen Entscheidungsträgern große Kopfschmerzen vorbereiten
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Number-crunching math models may give policy makers major headache
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Number-crunching maths models may give policy makers major headache
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Number-crunching math models may give policy makers major headache
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Number-crunching math models may give policy makers a major headache
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Number-crunching math models may give policy makers major headache
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Maths models may give policy makers major headache
University of Reading
https://www.reading.ac.uk/news/2022/Research-News/Mathematical-modelling

2021

2020

Paul-Marie Boulanger, Andrea Saltelli, Pandemic Luhmann, on SSRN: SSRN-id3586526.
... also on Zenodo, https://zenodo.org/record/3782316. --- To be cited as: Paul-Marie Boulanger, Andrea Saltelli, Pandemic Luhmann, 2020, Law & Humanities eJournal Vol 24, Issue 21, May 07.

2019

2018

2017

2016

2015

2014

2013

2012

Saltelli, A., M. Ratto, S. Tarantola and F. Campolongo, 2012 (Perennial Review of the 2005 paper), Sensitivity Analysis for Chemical Models, Chemical Reviews, 112 (5), pp PR1 PR21.

2011

Saisana, M., D Hombres, B., and Saltelli, A., Rickety Numbers: Volatility of university rankings and policy implications, 2011, Research Policy, 40 165 177.

Saisana, M. and Saltelli, M., 2011, Rankings and ratings: instructions for use, Hague Journal on the Rule of Law. 3, 247-268.

Saltelli, A., D Hombres, B., Jesinghaus, J., Manca, A., Mascherini, M., Nardo, M., and Saisana, M., 2011, Indicators for European Union Policies. Business as usual?, Social Indicators Research, 102(2), 197-207.

Campolongo F, Saltelli A, Cariboni, J, 2011, From screening to quantitative sensitivity analysis. A unified approach, Computer Physics Communication. 182 (4), pp. 978-988.

2010

Saltelli, A., Annoni, P., 2010, How to avoid a perfunctory sensitivity analysis, Environmental Modeling and Software, 25, 1508-1517.

Saltelli, A., D Hombres, B., Sensitivity analysis didn't help. A practitioner's critique of the Stern review, 2010, Global Environmental Change, 20, 298-302.

Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., Tarantola, S., 2010, Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index, Computer Physics Communications, 181, 259 270.

2009

Saltelli, A., Campolongo, F. Cariboni, J., 2009, Screening important inputs in models with strong interaction properties, Reliability Engineering & System Safety 94 (7), 1149-1155.

2007

J.Cariboni, Gatelli D., Liska R. and Saltelli A. (2007) The Role Of Sensitivity Analysis In Ecological Modelling, Ecological Modelling, 2007, 2 0 3, 167 182.

A. Saltelli, 2006, Composite indicators between analysis and advocacy, Social Indicators Research, 2007, 81 , 65-77.

2006

Andrea Saltelli, Marco Ratto, Stefano Tarantola, Francesca Campolongo, Sensitivity analysis practices: Strategies for model-based inference, 2006, Reliability Engineering & System Safety, 91, (10-11), 1109-1125.

2005

Saisana M., Saltelli A., Tarantola S. (2005) Uncertainty and Sensitivity analysis techniques as tools for the quality assessment of composite indicators, Journal of the Royal Statistical Society - A, 168(2), 307-323.

Toshimitsu HOMMA and Andrea SALTELLI, 2005, Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure, Journal of Nuclear Science and Technology, 32:11, 1164-1173.

Andrea Saltelli & Silvio Funtowicz (2005) The Precautionary Principle: Implications for Risk Management Strategies, Human and Ecological Risk Assessment: An International Journal, 11:1, 69-83.

2004

Saltelli, A., 2004, Sensitivity analysis: Could better methods be used? JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 104, NO. D3, PAGES 3789-3793.

... and its errata corrige.

2003

E. Borgonovo, G.E. Apostolakis, S. Tarantola,, A. Saltelli, 2003, Comparison of global sensitivity analysis techniques and importance measures in PSA, Reliability Engineering and System Safety 79, 175 185.

2002

Saltelli A. Tarantola S., 2002, On the relative importance of input factors in mathematical models: safety assessment for nuclear waste disposal, Journal of American Statistical Association, 97 (459), 702-709.

Saltelli A., 2002, Making best use of model evaluations to compute sensitivity indices, Computer Physics Communications, 145, 280-297.

Saltelli A., 2002, Sensitivity Analysis for Importance Assessment, Risk Analysis, 22 (3), 1-12.

2000

Saltelli, A., Tarantola, S. Campolongo, F., 2000, Sensitivity analysis as an ingredient of modelling, Statistical Science, 15(4), 377-395.

1999

Saltelli A., Tarantola S., and Chan K., 1999, A quantitative, model independent method for global sensitivity analysis of model output, Technometrics, 41(1), 39-56.

1998

Saltelli A., and Bolado R., 1998, An alternative way to compute Fourier Amplitude Sensitivity Test (FAST), Computational Statistics and Data Analysis, 26(4) 445-460.

1997

Archer, G., Saltelli, A. and Sobol', I. M., 1997, Sensitivity measures, ANOVA like techniques and the use of bootstrap. Journal of Statistical Computation and Simulation 58, 99-120.

1996

Homma T., and Saltelli A., 1996 , Importance measures in global sensitivity analysis of model output, 1996, Reliability Engineering and System Safety, Vol. 52 No. 1 1-17.

1995

Homma, T., Saltelli, A., 1995 ,Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty, Journal of NUCLEAR SCIENCE and TECHNOLOGY, 32 [11], pp.1164-1173.

Saltelli, A., Andres T.H., and Homma T., 1995, Sensitivity Analysis of model output. Performance of the Iterated Fractional Factorial Design (IFFD) method, Computational Statistics and Data Analysis, 20, 387-407.

A. Saltelli, I.M. Sobol , About the use of rank transformation in sensitivity analysis of model output, Reliability Engineering and System Safety 50 (1995) 225 239.

1993

Saltelli A., Andres T. H. and Homma T., 1993, Some new techniques in sensitivity analysis of model output, Computational Statistics and Data Analysis, 15, 211.

1992

Saltelli, A. and T. Homma, Sensitivity analysis for model output, Performance of black-box techniques on three international benchmark exercises, Computational Statististics Data Analysis, 13 (1992) 73-94.