Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver, SIAM Journal on Scientific Computing, vol.27, issue.2, pp.687-713, 2005. ,
DOI : 10.1137/S106482750241565X
Maximum likelihood estimation of stochastic chaos representations from experimental data, International Journal for Numerical Methods in Engineering, vol.11, issue.6, pp.978-1001, 2006. ,
DOI : 10.1002/nme.1576
URL : https://hal.archives-ouvertes.fr/hal-00686154
Identification of Chaos Representations of Elastic Properties of Random Media Using Experimental Vibration Tests, Computational Mechanics, vol.60, issue.5, pp.831-838, 2007. ,
DOI : 10.1007/s00466-006-0072-7
URL : https://hal.archives-ouvertes.fr/hal-00686150
An additive Schwarz preconditioner for the spectral element ocean model formulation of the shallow water equations, Elec. Trans. Numer. Anal, vol.15, pp.18-28, 2003. ,
Maximum Penalized Likelihood Estimation. Volume I: Density estimation, 2001. ,
Polynomial Chaos in Stochastic Finite Elements, Journal of Applied Mechanics, vol.57, issue.1, pp.197-202, 1990. ,
DOI : 10.1115/1.2888303
Stochastic finite elements. A spectral approach , rev, 2003. ,
Some numerical experiments with variable-storage quasi-Newton algorithms, Mathematical Programming, vol.11, issue.2, pp.407-435, 1989. ,
DOI : 10.1007/BF01589113
Survey on Independent Component Analysis, Neural Comput . Survey, vol.2, pp.94-128, 1999. ,
A staggered spectral element model with application to the oceanic shallow water equations, International Journal for Numerical Methods in Fluids, vol.60, issue.5, pp.393-414, 1995. ,
DOI : 10.1002/fld.1650200504
A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters, Journal of Computational Physics, vol.228, issue.17, pp.6184-6211, 2009. ,
DOI : 10.1016/j.jcp.2009.05.016
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems, Journal of Computational Physics, vol.228, issue.6, pp.1862-1902, 2009. ,
DOI : 10.1016/j.jcp.2008.11.024
Stochastic spectral methods for efficient Bayesian solution of inverse problems, AIP Conference Proceedings, pp.560-586, 2007. ,
DOI : 10.1063/1.2149785
Adaptive importance sampling by mixtures of products of beta distributions, Stanford university, Tech. Rep, vol.24, 1998. ,
Reduced Chaos decomposition with random coefficients of vector-valued random variables and random fields, Computer Methods in Applied Mechanics and Engineering, vol.198, issue.21-26, pp.21-26, 2009. ,
DOI : 10.1016/j.cma.2008.12.035
URL : https://hal.archives-ouvertes.fr/hal-00684487
A Bayesian inference approach to the inverse heat conduction problem, International Journal of Heat and Mass Transfer, vol.47, issue.17-18, pp.17-18, 2004. ,
DOI : 10.1016/j.ijheatmasstransfer.2004.02.028
Statistical pattern recognition, 2002. ,
A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach, Journal of Computational Physics, vol.227, issue.9, pp.4697-4735, 2008. ,
DOI : 10.1016/j.jcp.2008.01.019