J.E. Mottershead, M. Friswell, Model updating in structural dynamics: a survey, Journal of sound and vibration, 167(2) (1993) 347-375.
 C. Mares, J. Mottershead, M. Friswell, Stochastic model updating: part 1—theory and simulated example, Mechanical systems and signal processing, 20(7) (2006) 1674-1695.
 J. Mottershead, C. Mares, S. James, M. Friswell, Stochastic model updating: part 2—application to a set of physical structures, Mechanical Systems and Signal Processing, 20(8) (2006) 2171-2185.
 W.-X. Ren, H.-B. Chen, Finite element model updating in structural dynamics by using the response surface method, Engineering structures, 32(8) (2010) 2455-2465.
 H.-P. Wan, W.-X. Ren, Parameter selection in finite-element-model updating by global sensitivity analysis using Gaussian process metamodel, Journal of Structural Engineering, 141(6) (2015) 04014164.
 A. Saltelli, S. Tarantola, F. Campolongo, M. Ratto, Sensitivity analysis in practice: a guide to assessing scientific models, Wiley Online Library, 2004.
 Z. Kala, Sensitivity assessment of steel members under compression, Engineering Structures, 31(6) (2009) 1344-1348.
 J. Rohmer, E. Foerster, Global sensitivity analysis of large-scale numerical landslide models based on Gaussian-Process meta-modeling, Computers & geosciences, 37(7) (2011) 917-927.
 I.M. Sobol, Sensitivity analysis for non-linear mathematical models, Mathematical modelling and computational experiment, 1 (1993) 407-414.
 W. Becker, J. Oakley, C. Surace, P. Gili, J. Rowson, K. Worden, Bayesian sensitivity analysis of a nonlinear finite element model, Mechanical Systems and Signal Processing, 32 (2012) 18-31.
 N.A. Husain, H.H. Khodaparast, H. Ouyang, Parameter selection and stochastic model updating using perturbation methods with parameter weighting matrix assignment, Mechanical Systems and Signal Processing, 32 (2012) 135-152.
 H.-P. Wan, Z. Mao, M.D. Todd, W.-X. Ren, Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel, Engineering Structures, 75 (2014) 577-589.
 G. Steenackers, P. Guillaume, Finite element model updating taking into account the uncertainty on the modal parameters estimates, Journal of Sound and vibration, 296(4-5) (2006) 919-934.
 S. Marino, I.B. Hogue, C.J. Ray, D.E. Kirschner, A methodology for performing global uncertainty and sensitivity analysis in systems biology, Journal of theoretical biology, 254(1) (2008) 178-196.
 S.-E. Fang, W.-X. Ren, R. Perera, A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation, Mechanical Systems and Signal Processing, 33 (2012) 83-96.
 A.C. Balbahadur, A thermoelastohydrodynamic model of the Morton effect operating in overhung rotors supported by plain or tilting pad journal bearings, Virginia Tech, 2001.
 M. Lalanne, G. Ferraris, Rotordynamics prediction in engineering, Wiley, 1998.
 G. Genta, Dynamics of rotating systems, Springer Science & Business Media, 2007.
 Zahra Taherkhani, Hamidreza Pourtaba, Geometry Effects in Tilting-Pad dynamic Coefficients and Critical Speeds of a Rotor, in: Preceding in The Biennial International Conference on Experimental Solid Mechanics (X-Mech 2016). 2016.
 A. Tamer, P. Masarati, Periodic stability and sensitivity analysis of rotating machinery, in: Proceedings of the 9th IFToMM International Conference on Rotor Dynamics, Springer, 2015, pp. 2059-2070.
 S. Yan, R. Sievert, Vibration sensitivity of large turbine generator shaft trains to unbalance, in: Proceedings of the 9th IFToMM International Conference on Rotor Dynamics, Springer, 2015, pp. 3-14.
 T. Leister, C. Baum, W. Seemann, Sensitivity of computational rotor dynamics towards the empirically estimated lubrication gap clearance of foil air journal bearings, PAMM, 16(1) (2016) 285-286.
 F.A. Lara-Molina, A.A. Cavalini Jr, E.H. Koroishi, V. Steffen Jr, Sensitivity analysis of flexible rotor subjected to interval uncertainties, Latin American Journal of Solids and Structures, 16(4) (2019).
 D. Xie, Y. Yang, S. Gao, J. Guo, Sensitivity Analysis on the Dynamic Characteristics of a 1000 MW Turbo-Generator Rotor, in: Proceedings of the 9th IFToMM International Conference on Rotor Dynamics, Springer, 2015, pp. 1841-1852.
 S. Asadi, V. Berbyuk, H. Johansson, Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train, International Journal of Rotating Machinery, 2018 (2018).
 L. Urbiola-Soto, Multivariate Response Rotordynamic Modeling and Sensitivity Analysis of Tilting Pad Bearings, Journal of Engineering for Gas Turbines and Power, 140(7) (2018).
 R. Khatri, D.W. Childs, An experimental study of the load-orientation sensitivity of three-lobe bearings, Journal of Engineering for Gas Turbines and Power, 137(4) (2015).
 Y. Ma, Z. Liang, M. Chen, J. Hong, Interval analysis of rotor dynamic response with uncertain parameters, Journal of Sound and Vibration, 332(16) (2013) 3869-3880.
 E.H. Koroishi, A.A. Cavalini Jr, A.M. de Lima, V. Steffen Jr, Stochastic modeling of flexible rotors, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 34(SPE2) (2012) 574-583.
 N. Wang, D. Jiang, H. Xu, Dynamic characteristics analysis of a dual-rotor system with inter-shaft bearing, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(3) (2019) 1147-1158.
 M.H. Jalali, M. Ghayour, S. Ziaei-Rad, B. Shahriari, Dynamic analysis of a high speed rotor-bearing system, Measurement, 53 (2014) 1-9.
 I.y.M. Sobol', Global sensitivity indices for the investigation of nonlinear mathematical models, Matematicheskoe modelirovanie, 17(9) (2005) 43-52.
 R.d.O. Teloli, S. da Silva, T.G. Ritto, G. Chevallier, Bayesian model identification of higher-order frequency response functions for structures assembled by bolted joints, Mechanical Systems and Signal Processing, 151 (2021) 107333.
 N.C. Tyminski, H.F. de Castro, Application of Bayesian inference to unbalance identification in rotors, in: Proceedings of the 9th IFToMM international conference on rotor dynamics, Springer, 2015, pp. 711-721.
 J.W. Hall, L.J. Manning, R.K. Hankin, Bayesian calibration of a flood inundation model using spatial data, Water Resources Research, 47(5) (2011).
 E.T. Jaynes, Probability theory: The logic of science, Cambridge university press, 2003.
 J.L. Beck, L.S. Katafygiotis, Updating models and their uncertainties. I: Bayesian statistical framework, Journal of Engineering Mechanics, 124(4) (1998) 455-461.
 E.T. Jaynes, Prior probabilities, IEEE Transactions on systems science and cybernetics, 4(3) (1968) 227-241.