, Julia: A Fresh Approach to Numerical Computing, SIAM Review, vol.59, issue.1, 2014.
DOI : 10.1137/141000671
URL : http://arxiv.org/pdf/1411.1607
, Global sensitivity analysis for nested and multiscale modelling, Thèse de doctorat, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00864175
, L2-Boosting for sensitivity analysis with dependent inputs, Statistica Sinica, vol.25, issue.4, pp.1477-1502, 2015.
DOI : 10.5705/ss.2013.310
URL : https://hal.archives-ouvertes.fr/hal-01068729
, Indices de Sobol généralisés pour variables dépendantes, Thèse de doctorat, 2013.
, Generalized Sobol sensitivity indices for dependent variables: numerical methods, Journal of Statistical Computation and Simulation, vol.1, issue.7, pp.1306-1333, 2015.
DOI : 10.1214/aos/1013203451
URL : https://hal.archives-ouvertes.fr/hal-00801628
, Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis, Electronic Journal of Statistics, vol.6, issue.0, pp.2420-2448, 2012.
DOI : 10.1214/12-EJS749
URL : https://hal.archives-ouvertes.fr/hal-00649404
, Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering, Ecological Modelling, vol.290, pp.165-177, 2014.
DOI : 10.1016/j.ecolmodel.2014.01.030
URL : https://hal.archives-ouvertes.fr/hal-00997728
, Development and Evaluation of Plant Growth Models: Methodology and Implementation in the PYGMALION platform, Mathematical Modelling of Natural Phenomena, vol.93, issue.3, pp.112-130, 2013.
DOI : 10.1093/aob/mch078
, Regularization Paths for Generalized Linear Models via Coordinate Descent, Journal of Statistical Software, vol.33, issue.1, pp.1-22, 2010.
DOI : 10.18637/jss.v033.i01
URL : https://doi.org/10.18637/jss.v033.i01
, The elements of statistical learning : data mining, inference and prediction, 2009.
, A Class of Statistics with Asymptotically Normal Distribution, The Annals of Mathematical Statistics, vol.19, issue.3, pp.293-325, 1948.
DOI : 10.1214/aoms/1177730196
, Generalized Functional ANOVA Diagnostics for High-Dimensional Functions of Dependent Variables, Journal of Computational and Graphical Statistics, vol.16, issue.3, pp.709-732, 2007.
DOI : 10.1198/106186007X237892
, Estimation of global sensitivity indices for models with dependent variables, Computer Physics Communications, vol.183, issue.4, pp.937-946, 2012.
DOI : 10.1016/j.cpc.2011.12.020
, Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models, Reliability Engineering & System Safety, vol.96, issue.4, pp.450-459, 2011.
DOI : 10.1016/j.ress.2010.12.002
URL : https://hal.archives-ouvertes.fr/hal-00999840
, Quantifying physiological determinants of genetic variation for yield potential in sunflower. SUNFLO: a model-based analysis, Functional Plant Biology, vol.38, issue.3, pp.246-259, 2011.
DOI : 10.1071/FP09189
URL : https://hal.archives-ouvertes.fr/hal-00964303
, Quantitative genetics and functionalstructural plant growth models : Simulation of quantitative trait loci detection for model parameters and application to potential yield optimization, Annals of Botany, vol.101, issue.8, pp.951-963, 2008.
URL : https://hal.archives-ouvertes.fr/halsde-00288538
, General formulation of HDMR component functions with independent and correlated variables, Journal of Mathematical Chemistry, vol.73, issue.4, pp.99-130, 2012.
DOI : 10.1103/PhysRevA.73.053401
, Analytical HDMR formulas for functions expressed as quadratic polynomials with a multivariate normal distribution, Journal of Mathematical Chemistry, vol.183, issue.4, pp.522052-2073, 2014.
DOI : 10.1016/j.cpc.2011.12.020
, Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs, The Journal of Physical Chemistry A, vol.114, issue.19, pp.1146022-1146054, 2010.
DOI : 10.1021/jp9096919
, D-MORPH regression for modeling with fewer unknown parameters than observation data, Journal of Mathematical Chemistry, vol.12, issue.3, pp.501747-1764, 2012.
DOI : 10.1088/1367-2630/12/7/075008
, High Dimensional Model Representations, The Journal of Physical Chemistry A, vol.105, issue.33, pp.7765-7777, 2001.
DOI : 10.1021/jp010450t
, Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator, ACM Transactions on Modeling and Computer Simulation, vol.8, issue.1, pp.3-30, 1998.
DOI : 10.1145/272991.272995
URL : http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/ARTICLES/mt.pdf
, Uncertainty and sensitivity analysis for crop models. Working with dynamic crop models : Evaluation, analysis, parameterization, and applications, pp.55-100, 2006.
, Global sensitivity analysis : the primer, 2008.
DOI : 10.1002/9780470725184
, Sensitivity analysis for non-linear mathematical models, Mathematical Modeling and Computational Experiment, vol.1, pp.407-414, 1993.
, The Use of Polynomial Splines and Their Tensor Products in Multivariate Function Estimation, The Annals of Statistics, vol.22, issue.1, pp.118-184, 1994.
DOI : 10.1214/aos/1176325361
, Virtual plants: modelling as a tool for the genomics of tolerance to water deficit, Trends in Plant Science, vol.8, issue.1, pp.9-14, 2003.
DOI : 10.1016/S1360-1385(02)00008-0
, An efficient computational method for global sensitivity analysis and its application to tree growth modelling, Reliability Engineering & System Safety, vol.107, pp.35-43, 2012.
DOI : 10.1016/j.ress.2011.07.001
URL : https://hal.archives-ouvertes.fr/hal-00639539
, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998