Sensitivity analysis (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Sensitivity analysis" in English language version.

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arxiv.org

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.

blackwells.co.uk

Da Veiga S, Gamboa F, Iooss B, Prieur C (2021). Basics and Trends in Sensitivity Analysis. SIAM. doi:10.1137/1.9781611976694. ISBN 978-1-61197-668-7.

books.google.com

O'Hagan, A.; et al. (2006). Uncertain Judgements: Eliciting Experts' Probabilities. Chichester: Wiley. ISBN 9780470033302.

doi.org

Saltelli, A.; Ratto, M.; Andreas, T.; Campolongo, F.; Gariboni, J.; Gatelli, D.; Saisana, M.; Tarantola, S. (2008). Global sensitivity analysis: the primer. John Wiley & Sons. doi:10.1002/9780470725184. ISBN 978-0-470-05997-5.
Saltelli, A.; Tarantola, S.; Campolongo, F.; Ratto, M. (2004). Sensitivity analysis in practice: a guide to assessing scientific models. Vol. 1. doi:10.1002/0470870958. ISBN 978-0-470-87093-8.
Der Kiureghian, A.; Ditlevsen, O. (2009). "Aleatory or epistemic? Does it matter?". Structural Safety. 31 (2): 105–112. doi:10.1016/j.strusafe.2008.06.020.
Pannell, D. J. (1997). "Sensitivity Analysis of Normative Economic Models: Theoretical Framework and Practical Strategies". Agricultural Economics. 16 (2): 139–152. doi:10.1111/j.1574-0862.1997.tb00449.x.
Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.
Helton, J. C.; Johnson, J. D.; Salaberry, C. J.; Storlie, C. B. (2006). "Survey of sampling based methods for uncertainty and sensitivity analysis". Reliability Engineering and System Safety. 91 (10–11): 1175–1209. doi:10.1016/j.ress.2005.11.017.
Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.
Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Sacks, J.; Welch, W. J.; Mitchell, T. J.; Wynn, H. P. (1989). "Design and Analysis of Computer Experiments". Statistical Science. 4 (4): 409–435. doi:10.1214/ss/1177012413.
Da Veiga S, Gamboa F, Iooss B, Prieur C (2021). Basics and Trends in Sensitivity Analysis. SIAM. doi:10.1137/1.9781611976694. ISBN 978-1-61197-668-7.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Czitrom, Veronica (1999). "One-Factor-at-a-Time Versus Designed Experiments". American Statistician. 53 (2): 126–131. doi:10.2307/2685731. JSTOR 2685731.
Gatzouras, D; Giannopoulos, A (2009). "Threshold for the volume spanned by random points with independent coordinates". Israel Journal of Mathematics. 169 (1): 125–153. doi:10.1007/s11856-009-0007-z.
Morris MD (1991). "Factorial Sampling Plans for Preliminary Computational Experiments". Technometrics. 33 (2). Taylor & Francis: 161–174. doi:10.2307/1269043. JSTOR 1269043.
Borgonovo E, Tarantola S, Plischke E, Morris MD (2014). "Transformations and invariance in the sensitivity analysis of computer experiments". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 76 (5): 925–947. doi:10.1111/rssb.12052. ISSN 1369-7412.
Rényi, A (1 September 1959). "On measures of dependence". Acta Mathematica Academiae Scientiarum Hungarica. 10 (3): 441–451. doi:10.1007/BF02024507. ISSN 1588-2632.
Borgonovo E (June 2007). "A new uncertainty importance measure". Reliability Engineering & System Safety. 92 (6): 771–784. doi:10.1016/J.RESS.2006.04.015. ISSN 0951-8320.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.
Barr J, Rabitz H (31 March 2022). "A Generalized Kernel Method for Global Sensitivity Analysis". SIAM/ASA Journal on Uncertainty Quantification. 10 (1). Society for Industrial and Applied Mathematics: 27–54. doi:10.1137/20M1354829.
Pianosi F, Wagener T (2015). "A simple and efficient method for global sensitivity analysis based on cumulative distribution functions". Environmental Modelling & Software. 67: 1–11. Bibcode:2015EnvMS..67....1P. doi:10.1016/j.envsoft.2015.01.004.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Haghnegahdar, Amin; Razavi, Saman (September 2017). "Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale". Environmental Modelling & Software. 95: 115–131. Bibcode:2017EnvMS..95..115H. doi:10.1016/j.envsoft.2017.03.031.
Owen AB (1 January 2014). "Sobol' Indices and Shapley Value". SIAM/ASA Journal on Uncertainty Quantification. 2 (1). Society for Industrial and Applied Mathematics: 245–251. doi:10.1137/130936233.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Bayesian Networks in Dependability]. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.
Storlie, C.B.; Swiler, L.P.; Helton, J.C.; Sallaberry, C.J. (2009). "Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models". Reliability Engineering & System Safety. 94 (11): 1735–1763. doi:10.1016/j.ress.2009.05.007.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.
Gramacy, R. B.; Taddy, M. A. (2010). "Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models" (PDF). Journal of Statistical Software. 33 (6). doi:10.18637/jss.v033.i06.
Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Reliability Engineering & System Safety. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.
Ratto, M.; Pagano, A. (2010). "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models". AStA Advances in Statistical Analysis. 94 (4): 367–388. doi:10.1007/s10182-010-0148-8. S2CID 7678955.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Li, G. (2002). "Practical approaches to construct RS-HDMR component functions". Journal of Physical Chemistry. 106 (37): 8721–8733. Bibcode:2002JPCA..106.8721L. doi:10.1021/jp014567t.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.
Lo Piano, S; Robinson, M (2019). "Nutrition and public health economic evaluations under the lenses of post normal science". Futures. 112: 102436. doi:10.1016/j.futures.2019.06.008. S2CID 198636712.

elsevier.com

Gupta, H; Razavi, S (2016). "Challenges and Future Outlook of Sensitivity Analysis". In Petropoulos, George; Srivastava, Prashant (eds.). Sensitivity Analysis in Earth Observation Modelling (1st ed.). Elsevier. pp. 397–415. ISBN 9780128030318.

epa.gov

"Archived copy" (PDF). Archived from the original (PDF) on 2011-04-26. Retrieved 2009-10-16.{{cite web}}: CS1 maint: archived copy as title (link)

escholarship.org

Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.

europa.eu

ec.europa.eu

European Commission. 2021. “Better Regulation Toolbox.” November 25.

handle.net

hdl.handle.net

Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

harvard.edu

ui.adsabs.harvard.edu

Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Pianosi F, Wagener T (2015). "A simple and efficient method for global sensitivity analysis based on cumulative distribution functions". Environmental Modelling & Software. 67: 1–11. Bibcode:2015EnvMS..67....1P. doi:10.1016/j.envsoft.2015.01.004.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Haghnegahdar, Amin; Razavi, Saman (September 2017). "Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale". Environmental Modelling & Software. 95: 115–131. Bibcode:2017EnvMS..95..115H. doi:10.1016/j.envsoft.2017.03.031.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Li, G. (2002). "Practical approaches to construct RS-HDMR component functions". Journal of Physical Chemistry. 106 (37): 8721–8733. Bibcode:2002JPCA..106.8721L. doi:10.1021/jp014567t.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

ieee.org

ieeexplore.ieee.org

Kabir HD, Khosravi A, Nahavandi D, Nahavandi S. Uncertainty Quantification Neural Network from Similarity and Sensitivity. In2020 International Joint Conference on Neural Networks (IJCNN) 2020 Jul 19 (pp. 1-8). IEEE.

inrs.ca

espace.inrs.ca

Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.

jstor.org

Czitrom, Veronica (1999). "One-Factor-at-a-Time Versus Designed Experiments". American Statistician. 53 (2): 126–131. doi:10.2307/2685731. JSTOR 2685731.
Morris MD (1991). "Factorial Sampling Plans for Preliminary Computational Experiments". Technometrics. 33 (2). Taylor & Francis: 161–174. doi:10.2307/1269043. JSTOR 1269043.
Leamer, Edward E. (1983). "Let's Take the Con Out of Econometrics". American Economic Review. 73 (1): 31–43. JSTOR 1803924.
Leamer, Edward E. (1985). "Sensitivity Analyses Would Help". American Economic Review. 75 (3): 308–313. JSTOR 1814801.

nih.gov

pubmed.ncbi.nlm.nih.gov

Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.
Li, G.; Hu, J.; Wang, S.-W.; Georgopoulos, P.; Schoendorf, J.; Rabitz, H. (2006). "Random Sampling-High Dimensional Model Representation (RS-HDMR) and orthogonality of its different order component functions". Journal of Physical Chemistry A. 110 (7): 2474–2485. Bibcode:2006JPCA..110.2474L. doi:10.1021/jp054148m. PMID 16480307.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.

ncbi.nlm.nih.gov

Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.

osti.gov

Hill, M.; Kavetski, D.; Clark, M.; Ye, M.; Arabi, M.; Lu, D.; Foglia, L.; Mehl, S. (2015). "Practical use of computationally frugal model analysis methods". Groundwater. 54 (2): 159–170. doi:10.1111/gwat.12330. OSTI 1286771. PMID 25810333.

projecteuclid.org

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.

psu.edu

citeseerx.ist.psu.edu

Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.

r-project.org

cran.r-project.org

Gramacy, R. B.; Taddy, M. A. (2010). "Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models" (PDF). Journal of Statistical Software. 33 (6). doi:10.18637/jss.v033.i06.

sciencedirect.com

Marrel, A.; Iooss, B.; Van Dorpe, F.; Volkova, E. (2008). "An efficient methodology for modeling complex computer codes with Gaussian processes". Computational Statistics & Data Analysis. 52 (10): 4731–4744. arXiv:0802.1099. doi:10.1016/j.csda.2008.03.026.
Sudret, B. (2008). "Global sensitivity analysis using polynomial chaos expansions". Bayesian Networks in Dependability]. 93 (7): 964–979. doi:10.1016/j.ress.2007.04.002.

semanticscholar.org

api.semanticscholar.org

Bahremand, A.; De Smedt, F. (2008). "Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia". Water Resources Management. 22 (3): 293–408. Bibcode:2008WatRM..22..393B. doi:10.1007/s11269-007-9168-x. S2CID 9710579.
Tsvetkova, O.; Ouarda, T.B.M.J. (2019). "Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE" (PDF). Journal of Renewable and Sustainable Energy. 11 (5): 053303. doi:10.1063/1.5120035. S2CID 208835771.
Campbell, J.; et al. (2008). "Photosynthetic Control of Atmospheric Carbonyl Sulfide During the Growing Season". Science. 322 (5904): 1085–1088. Bibcode:2008Sci...322.1085C. doi:10.1126/science.1164015. PMID 19008442. S2CID 206515456.
Bailis, R.; Ezzati, M.; Kammen, D. (2005). "Mortality and Greenhouse Gas Impacts of Biomass and Petroleum Energy Futures in Africa". Science. 308 (5718): 98–103. Bibcode:2005Sci...308...98B. doi:10.1126/science.1106881. PMID 15802601. S2CID 14404609.
Murphy, J.; et al. (2004). "Quantification of modelling uncertainties in a large ensemble of climate change simulations". Nature. 430 (7001): 768–772. Bibcode:2004Natur.430..768M. doi:10.1038/nature02771. PMID 15306806. S2CID 980153.
Oakley, J.; O'Hagan, A. (2004). "Probabilistic sensitivity analysis of complex models: a Bayesian approach". J. R. Stat. Soc. B. 66 (3): 751–769. CiteSeerX 10.1.1.6.9720. doi:10.1111/j.1467-9868.2004.05304.x. S2CID 6130150.
Ratto, M.; Pagano, A. (2010). "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models". AStA Advances in Statistical Analysis. 94 (4): 367–388. doi:10.1007/s10182-010-0148-8. S2CID 7678955.
Cardenas, IC (2019). "On the use of Bayesian networks as a meta-modeling approach to analyse uncertainties in slope stability analysis". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13 (1): 53–65. Bibcode:2019GAMRE..13...53C. doi:10.1080/17499518.2018.1498524. S2CID 216590427.
Rabitz, H (1989). "System analysis at molecular scale". Science. 246 (4927): 221–226. Bibcode:1989Sci...246..221R. doi:10.1126/science.246.4927.221. PMID 17839016. S2CID 23088466.
Van der Sluijs, JP; Craye, M; Funtowicz, S; Kloprogge, P; Ravetz, J; Risbey, J (2005). "Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system". Risk Analysis. 25 (2): 481–492. Bibcode:2005RiskA..25..481V. doi:10.1111/j.1539-6924.2005.00604.x. hdl:1874/386039. PMID 15876219. S2CID 15988654.
Lo Piano, S; Robinson, M (2019). "Nutrition and public health economic evaluations under the lenses of post normal science". Futures. 112: 102436. doi:10.1016/j.futures.2019.06.008. S2CID 198636712.

springer.com

link.springer.com

Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.

unt.edu

digital.library.unt.edu

Helton, J. C.; Johnson, J. D.; Salaberry, C. J.; Storlie, C. B. (2006). "Survey of sampling based methods for uncertainty and sensitivity analysis". Reliability Engineering and System Safety. 91 (10–11): 1175–1209. doi:10.1016/j.ress.2005.11.017.

web.archive.org

"Archived copy" (PDF). Archived from the original (PDF) on 2011-04-26. Retrieved 2009-10-16.{{cite web}}: CS1 maint: archived copy as title (link)

worldcat.org

search.worldcat.org

Chastaing, G.; Gamboa, F.; Prieur, C. (2012). "Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis". Electronic Journal of Statistics. 6: 2420–2448. arXiv:1112.1788. doi:10.1214/12-EJS749. ISSN 1935-7524.
Gamboa, F.; Janon, A.; Klein, T.; Lagnoux, A. (2014). "Sensitivity analysis for multidimensional and functional outputs". Electronic Journal of Statistics. 8: 575–603. arXiv:1311.1797. doi:10.1214/14-EJS895. ISSN 1935-7524.
Marrel, A.; Iooss, B.; Da Veiga, S.; Ribatet, M. (2012). "Global sensitivity analysis of stochastic computer models with joint metamodels". Statistics and Computing. 22 (3): 833–847. arXiv:0802.0443. doi:10.1007/s11222-011-9274-8. ISSN 0960-3174.
Borgonovo E, Tarantola S, Plischke E, Morris MD (2014). "Transformations and invariance in the sensitivity analysis of computer experiments". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 76 (5): 925–947. doi:10.1111/rssb.12052. ISSN 1369-7412.
Rényi, A (1 September 1959). "On measures of dependence". Acta Mathematica Academiae Scientiarum Hungarica. 10 (3): 441–451. doi:10.1007/BF02024507. ISSN 1588-2632.
Borgonovo E (June 2007). "A new uncertainty importance measure". Reliability Engineering & System Safety. 92 (6): 771–784. doi:10.1016/J.RESS.2006.04.015. ISSN 0951-8320.
Chatterjee S (2 October 2021). "A New Coefficient of Correlation". Journal of the American Statistical Association. 116 (536): 2009–2022. arXiv:1909.10140. doi:10.1080/01621459.2020.1758115. ISSN 0162-1459.
Wiesel JC (November 2022). "Measuring association with Wasserstein distances". Bernoulli. 28 (4): 2816–2832. arXiv:2102.00356. doi:10.3150/21-BEJ1438. ISSN 1350-7265.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory". Water Resources Research. 52 (1): 423–439. Bibcode:2016WRR....52..423R. doi:10.1002/2015WR017558. ISSN 1944-7973.
Razavi, Saman; Gupta, Hoshin V. (January 2016). "A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application". Water Resources Research. 52 (1): 440–455. Bibcode:2016WRR....52..440R. doi:10.1002/2015WR017559. ISSN 1944-7973.
Wang, Shangying; Fan, Kai; Luo, Nan; Cao, Yangxiaolu; Wu, Feilun; Zhang, Carolyn; Heller, Katherine A.; You, Lingchong (2019-09-25). "Massive computational acceleration by using neural networks to emulate mechanism-based biological models". Nature Communications. 10 (1): 4354. Bibcode:2019NatCo..10.4354W. doi:10.1038/s41467-019-12342-y. ISSN 2041-1723. PMC 6761138. PMID 31554788.

zenodo.org

Becker, W.; Worden, K.; Rowson, J. (2013). "Bayesian sensitivity analysis of bifurcating nonlinear models". Mechanical Systems and Signal Processing. 34 (1–2): 57–75. Bibcode:2013MSSP...34...57B. doi:10.1016/j.ymssp.2012.05.010.