Sergei Kucherenko
Sergei Kucherenko
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Derivative-based global sensitivity measures and their link with Sobol’sensitivity indices
S Kucherenko, S Song
Monte Carlo and Quasi-Monte Carlo Methods, 455-469, 2016
Estimating the approximation error when fixing unessential factors in global sensitivity analysis
S Tarantola, D Gatelli, SS Kucherenko, W Mauntz
Reliability Engineering & System Safety 92 (7), 957-960, 2007
Monte Carlo evaluation of derivative-based global sensitivity measures
S Kucherenko, M Rodriguez-Fernandez, C Pantelides, N Shah
Reliability Engineering & System Safety 94 (7), 1135-1148, 2009
Estimation of global sensitivity indices for models with dependent variables
S Kucherenko, S Tarantola, P Annoni
Computer physics communications 183 (4), 937-946, 2012
Global sensitivity analysis challenges in biological systems modeling
A Kiparissides, SS Kucherenko, A Mantalaris, EN Pistikopoulos
Industrial & Engineering Chemistry Research 48 (15), 7168-7180, 2009
A model for the sintering of spherical particles of different sizes by solid state diffusion
J Pan, H Le, S Kucherenko, JA Yeomans
Acta materialia 46 (13), 4671-4690, 1998
Global sensitivity indices for the investigation of nonlinear mathematical models
IM Sobol'
Matematicheskoe modelirovanie 17 (9), 43-52, 2005
Construction and comparison of high‐dimensional Sobol'generators
IM Sobol', D Asotsky, A Kreinin, S Kucherenko
Wilmott 2011 (56), 64-79, 2011
Application of deterministic low-discrepancy sequences in global optimization
S Kucherenko, Y Sytsko
Computational Optimization and Applications 30 (3), 297-318, 2005
The identification of model effective dimensions using global sensitivity analysis
S Kucherenko, B Feil, N Shah, W Mauntz
Reliability Engineering & System Safety 96 (4), 440-449, 2011
A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices
S Kucherenko
Computer Physics Communications 181 (7), 1212-1217, 2010
Finite element formulation of coupled grain-boundary and surface diffusion with grain-boundary migration
J Pan, ACF Cocks, S Kucherenko
Proceedings of the Royal Society of London. Series A: Mathematical, Physical …, 1997
Exploring multi-dimensional spaces: A comparison of Latin hypercube and quasi Monte Carlo sampling techniques
S Kucherenko, D Albrecht, A Saltelli
arXiv preprint arXiv:1505.02350, 2015
On global sensitivity analysis of quasi-Monte Carlo algorithms
IM Sobol, SS Kucherenko
Walter de Gruyter 11 (1), 83-92, 2005
Comparison of deterministic and stochastic approaches to global optimization
L Liberti, S Kucherenko
International Transactions in Operational Research 12 (3), 263-285, 2005
Metamodelling with independent and dependent inputs
MM Zuniga, S Kucherenko, N Shah
Computer Physics Communications 184 (6), 1570-1580, 2013
Comparison of Monte Carlo and quasi Monte Carlo sampling methods in high dimensional model representation
B Feil, S Kucherenko, N Shah
2009 first international conference on advances in system simulation, 12-17, 2009
Calculating first-order sensitivity measures: A benchmark of some recent methodologies
D Gatelli, S Kucherenko, M Ratto, S Tarantola
Reliability Engineering & System Safety 94 (7), 1212-1219, 2009
A flexible and generic approach to dynamic modelling of supply chains
WY Hung, S Kucherenko, NJ Samsatli, N Shah
Journal of the Operational Research Society 55 (8), 801-813, 2004
Optimal experimental design based on global sensitivity analysis
M Rodriguez-Fernandez, S Kucherenko, C Pantelides, N Shah
Computer Aided Chemical Engineering 24, 63-68, 2007
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