Bibliography¶
- 1
Marvin L. Adams, editor. Assessing the reliability of complex models: Mathematical and statistical foundations of verification, validation, and uncertainty quantification. National Academies Press, Washington, D.C., 2012.
- 2
Emanuele Borgonovo and Elmar Plischke. Sensitivity analysis: A review of recent advances. European Journal of Operational Research, 248(3):869–887, 2016.
- 3
Fabio Canova. Statistical inference in calibrated models. Journal of Applied Econometrics, 9(1):123–144, 1994.
- 4
Qiao Ge and Monica Menendez. An efficient sensitivity analysis approach for computationally expensive microscopic traffic simulation models. International Journal of Transportation, 2(2):49–64, 2014.
- 5
Lars Peter Hansen and James J. Heckman. The empirical foundations of calibration. Journal of economic perspectives, 10(1):87–104, 1996.
- 6
Ford W. Harris. How many parts to make at once. Operations Research, 38(6):947–950, 1990.
- 7
Sergei Kucherenko, Shufang Song, and Lu Wang. Quantile based global sensitivity measures. Reliability Engineering & System Safety, 185:35–48, 2019.
- 8
Sergei Kucherenko, Stefano Tarantola, and Paola Annoni. Estimation of global sensitivity indices for models with dependent variables. Computer Physics Communications, 183(4):937–946, 2012.
- 9
Finn E. Kydland. On the econometrics of world business cycles. European Economic Review, 36(2-3):476–482, 1992.
- 10
Charles F. Manski. Communicating uncertainty in policy analysis. Proceedings of the National Academy of Sciences, 116(16):7634–7641, 2019.
- 11
William L. Oberkampf and Christopher J. Roy. Verification and validation in scientific computing. Cambridge University Press, Cambridge, UK, 2010.
- 12
Art B. Owen. Sobol’ indices and shapley value. SIAM/ASA Journal on Uncertainty Quantification, 2(1):245–251, 2014.
- 13
I. Sobol. On sensitivity estimation for nonlinear mathematical models. Math. Modelling & Comp. Exp, 1993.
- 14
Eunhye Song, Barry L Nelson, and Jeremy Staum. Shapley effects for global sensitivity analysis: theory and computation. SIAM/ASA Journal on Uncertainty Quantification, 4(1):1060–1083, 2016.
- 15
Yunpeng Sun, Daniel W Apley, and Jeremy Staum. Efficient nested simulation for estimating the variance of a conditional expectation. Operations research, 59(4):998–1007, 2011.
- 16
Kenneth I. Wolpin. The limits to inference without theory. MIT University Press, Cambridge, MA, 2013.