Authors: Piano, Samuele Lo, author, Sheikholeslami, Razi, author, Puy, Arnald, author, Saltelli, Andrea, author

Superior Title: The Politics of Modelling : Numbers Between Science and Policy, 2023.

Availability: https://doi.org/10.1093/oso/9780198872412.003.0008

Authors: Puy, Arnald, author, Saltelli, Andrea, author

Superior Title: The Politics of Modelling : Numbers Between Science and Policy, 2023, ill.

Availability: https://doi.org/10.1093/oso/9780198872412.003.0004

Authors: Saltelli, Andrea^Aff19145, Tognetti, Mara, Section editor^Aff19146

Contributors: Maggino, Filomena, editor^Aff1

Superior Title: Encyclopedia of Quality of Life and Well-Being Research. :6325-6326

Authors: Magdalena Olczyk, Marta Kuc-Czarnecka, Andrea Saltelli

Superior Title: Journal of Competitiveness, Vol 14, Iss 1, Pp 118-135 (2022)

Subject Terms: competitiveness, composite indicators, global competitiveness index, sensitivity analysis, Business, HF5001-6182

File Description: electronic resource

Relation: https://www.cjournal.cz/index.php?hid=clanek&bid=aktualni&cid=438&cp=; https://doaj.org/toc/1804-171X; https://doaj.org/toc/1804-1728

Access URL: https://doaj.org/article/9500dd4dd22a4127acce3a233adad94d

Authors: Becker, William^{j_jtse-2018-0025_aff_001_w2aab3b7d299b1b6b1aab1b3b3Aa}, Paruolo, Paolo^{j_jtse-2018-0025_aff_001_w2aab3b7d299b1b6b1aab1b3b3Aa}, Saltelli, Andrea^{j_jtse-2018-0025_aff_003_w2aab3b7d299b1b6b1aab1b3b5Aa}

Superior Title: Journal of Time Series Econometrics. 13(2):187-233

Availability: https://www.degruyter.com/document/doi/10.1515/jtse-2018-0025/html

Authors: Puy, Arnald, Lankford, Bruce, Meier, Jonas, Van Der Kooij, Saskia, Saltelli, Andrea

Superior Title: Environmental Research Letters 17 (2022) 4 ; ISSN: 1748-9318

Subject Terms: agriculture, climate change, sensitivity analysis, water sustainability

File Description: application/pdf

Relation: https://edepot.wur.nl/568028; https://research.wur.nl/en/publications/large-variations-in-global-irrigation-withdrawals-caused-by-uncer

Availability: https://doi.org/10.1088/1748-9326/ac5768
https://research.wur.nl/en/publications/large-variations-in-global-irrigation-withdrawals-caused-by-uncer

Authors: Arnald Puy, Bruce Lankford, Jonas Meier, Saskia van der Kooij, Andrea Saltelli

Superior Title: Environmental Research Letters, Vol 17, Iss 4, p 044014 (2022)

Subject Terms: sensitivity analysis, agriculture, water sustainability, climate change, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999

Relation: https://doi.org/10.1088/1748-9326/ac5768; https://doaj.org/toc/1748-9326; https://doaj.org/article/865d0e03fff7421cb83288eb2639fe99

Availability: https://doi.org/10.1088/1748-9326/ac5768
https://doaj.org/article/865d0e03fff7421cb83288eb2639fe99

Authors: Puy, Arnald, Borgonovo, Emanuele, Lo Piano, Samuele, Levin, Simon A., Saltelli, Andrea

Contributors: Puy, Arnald, Borgonovo, Emanuele, Lo Piano, Samuele, Levin, Simon A., Saltelli, Andrea

Subject Terms: IRRIGATION, MATHEMATICAL MODELING, SENSITIVITY ANALYSIS

File Description: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000678711600004; volume:12; issue:1; firstpage:4525; lastpage:-; journal:NATURE COMMUNICATIONS; http://hdl.handle.net/11565/4043864; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85111328034; http://dx.doi.org/10.1038/s41467-021-24508-8

Availability: https://doi.org/10.1038/s41467-021-24508-8
http://hdl.handle.net/11565/4043864

Authors: Razavi, Saman, Jakeman, Anthony, saltelli, andrea, Prieur, Clémentine, Iooss, Bertrand, Borgonovo, Emanuele, Plischke, Elmar, Lo Piano, Samuele, Iwanaga, Takuya, Becker, William, Tarantola, Stefano, Guillaume, Joseph, Jakeman, John, Gupta, Hoshin, Melillo, Nicola, Rabitti, Giovanni, Chabridon, Vincent, Duan, Qingyun, SUN, XIFU, Smith, Stefan, Sheikholeslami, Razi, Hosseini, Nasim, Asadzadeh, Masoud, Puy, Arnald, Kucherenko, Sergei, Maier, Holger

Contributors: University of Saskatchewan, The Australian National University, Universitat Oberta de Catalunya (UOC), Université de Grenoble Alpes, EDF R&D, Département PRISME / SINCLAIR AI Laboratory, Bocconi University, Technische Universität Clausthal, University of Reading, University of Arizona, Università degli Studi di Pavia, Heriot-Watt University, Hohai University, University of Oxford, University of Manitoba, Princeton University, University of Bergen, Imperial College London, University of Adelaide

Subject Terms: sensitivity analysis, mathematical modeling, machine learning, uncertainty quantification, decision making, model validation and verification, model robustness, policy support, anàlisi de sensibilitat, modelització matemàtica, aprenentatge automàtic, quantificació de la incertesa, presa de decisions, validació i verificació del model, solidesa del model, suport a les polítiques, análisis de sensibilidad, modelización matemática, aprendizaje automático, cuantificación de la incertidumbre, toma de decisiones, validación y verificación de modelos, robustez del modelo, apoyo a la política

File Description: application/pdf

Relation: Environmental Modelling & Software, 2021, 137; Environmental Modelling & Software;137; https://doi.org/10.1016/j.envsoft.2020.104954; Razavi, S., Jakeman, A., Saltelli, A., Prieur, C., Iooss, B., Borgonovo, E., Plischke, E., Lo Piano, Samuele, Iwanaga, T., Becker, W., Tarantola, S., Guillaume, J., Jakeman, J., Gupta, H., Melillo, Nicola, Rabitti, G., Chabridon, V., Duan, Q., Sun, X., Smith, S., Sheikholeslami, R., Hosseini, N., Asadzadeh, M., Puy, A., Kucherenko, S. & Maier, H.R. (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software, 137, 1-22. doi:10.1016/j.envsoft.2020.104954; http://hdl.handle.net/10609/147614

Availability: https://doi.org/10.1016/j.envsoft.2020.104954
http://hdl.handle.net/10609/147614

Authors: Puy, Arnald, Lo Piano, Samuele, saltelli, andrea

Contributors: Universitat Oberta de Catalunya (UOC), Princeton University, University of Reading, University of Bergen

Subject Terms: Uncertainty, Modeling Statistics, Design of experiment, Sensitivity analysis

File Description: application/pdf

Relation: Puy, A; Lo Piano, S; Saltelli, A.(2021). Is VARS more intuitive and efficient than Sobol¿ indices?, Environmental Modelling & Software,Volume 137,2021, 104960, ISSN 1364-8152. https://doi.org/10.1016/j.envsoft.2021.104960.; http://hdl.handle.net/10609/136809

Availability: https://doi.org/10.1016/j.envsoft.2021.104960
http://hdl.handle.net/10609/136809

Authors: Becker, William^Aff4, Paruolo, Paolo^Aff4, Saisana, Michaela^Aff4, Saltelli, Andrea^{Aff5, Aff6}

Contributors: Ghanem, Roger, editor^Aff1, Higdon, David, editor^Aff2, Owhadi, Houman, editor^Aff3

Superior Title: Handbook of Uncertainty Quantification. :1187-1216

Authors: Iooss, Bertrand^{Aff4, Aff5}, Saltelli, Andrea^{Aff6, Aff7}

Contributors: Ghanem, Roger, editor^Aff1, Higdon, David, editor^Aff2, Owhadi, Houman, editor^Aff3

Superior Title: Handbook of Uncertainty Quantification. :1103-1122

Authors: Puy, Arnald, Lo Piano, Samuele, saltelli, andrea

Contributors: Universitat Oberta de Catalunya (UOC), University of Bergen, Princeton University, University of Reading

Subject Terms: uncertainty analysis, sensitivity analysis, environmental modelling, risks, análisis de incertidumbre, análisis de sensibilidad, modelación ambiental, riesgos, anàlisi d'incertesa, anàlisi de sensibilitat, modelació ambiental, riscos, Statistics, Estadística

File Description: application/pdf

Relation: Environmental Modelling & Software, 2020, 127(); https://doi.org/10.1016/j.envsoft.2020.104679; info:eu-repo/grantAgreement/H2020/792178; Puy, A., Lo Piano, S. & Saltelli, A. (2020). A sensitivity analysis of the PAWN sensitivity index. Environmental Modelling & Software, 127(). doi:10.1016/j.envsoft.2020.104679; http://hdl.handle.net/10609/93026

Availability: https://doi.org/10.1016/j.envsoft.2020.104679
http://hdl.handle.net/10609/93026

Authors: Saisana, M., Saltelli, A., Tarantola, S.

Superior Title: Journal of the Royal Statistical Society. Series A (Statistics in Society), 2005 Jan 01. 168(2), 307-323.

Access URL: https://www.jstor.org/stable/3559964

Authors: Saltelli, Andrea, Tarantola, Stefano

Superior Title: Journal of the American Statistical Association, 2002 Sep 01. 97(459), 702-709.

Access URL: https://www.jstor.org/stable/3085706

Authors: Saltelli, A., Tarantola, S., Campolongo, F.

Superior Title: Statistical Science, 2000 Nov 01. 15(4), 377-395.

Access URL: https://www.jstor.org/stable/2676831

Authors: Saltelli, A., Tarantola, S.

Superior Title: Technometrics, 1999 Feb 01. 41(1), 39-56.

Access URL: https://www.jstor.org/stable/1270993

Authors: Samuele Lo Piano, Andrea Saltelli, Jeroen P. van der Sluijs

Superior Title: Frontiers in Energy Research, Vol 7 (2019)

Subject Terms: silver, solar photovoltaics, renewable energy, natural constraint, technological development, sensitivity analysis, General Works

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fenrg.2019.00056/full; https://doaj.org/toc/2296-598X

Access URL: https://doaj.org/article/c5e9eb39731a45728c537f7a1ad8678b

Authors: Lo Piano, Samuele, Saltelli, Andrea, van der Sluijs, Jeroen P.

Contributors: Environmental Sciences

Subject Terms: Natural constraint, Renewable energy, Sensitivity analysis, Silver, Solar photovoltaics, Stakeholders engagement, Technological development, Sustainability and the Environment, Fuel Technology, Energy Engineering and Power Technology, Economics and Econometrics

File Description: image/pdf

Relation: https://dspace.library.uu.nl/handle/1874/382962

Availability: https://dspace.library.uu.nl/handle/1874/382962

Authors: saltelli, andrea, Aleksankina, Ksenia, Becker, William, Fennell, Pamela, Ferretti, Federico, Holst, Niels, Li, Sushan, Wu, Qiongli

Contributors: University of Bergen, University of Edinburgh, University College London, Aarhus University, Technische Universität Darmstadt, Wuhan Institute of Physics and Mathematics, Universitat Oberta de Catalunya (UOC)

Subject Terms: sensitivity analysis, methods, good practices, anàlisi de sensibilitat, mètodes, bones pràctiques, análisis de sensibilidad, métodos, buenas prácticas, Mathematical models, Models matemàtics, Modelos matemáticos

File Description: application/pdf

Relation: Environmental Modelling & Software, 2019, 114(); https://doi.org/10.1016/j.envsoft.2019.01.012; Saltelli, A., Aleksankina, K., Becker, W., Fennell, P., Ferretti, F., Holst, N., Li, S. & Wu, Q. (2019). Why so many published sensitivity analyses are false: a systematic review of sensitivity analysis practices. Environmental Modelling & Software, 114(), 29-39. doi:10.1016/j.envsoft.2019.01.012; http://hdl.handle.net/10609/114686

Availability: https://doi.org/10.1016/j.envsoft.2019.01.012
http://hdl.handle.net/10609/114686