Publications @ CSQI

Only Fabio Nobile’s Publications

2024

A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

F. Zoccolan; M. Strazzullo; G. Rozza 

Computational Methods In Applied Mathematics. 2024-04-24. DOI : 10.1515/cmam-2023-0171.

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit

G. A. Pavliotis; A. Zanoni 

Siam-Asa Journal On Uncertainty Quantification. 2024-01-01. Vol. 12, num. 2, p. 262-288. DOI : 10.1137/22M153848X.

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

F. Nobile; T. S. S. Trigo Trindade 

2024. 

Network-based kinetic models: Emergence of a statistical description of the graph topology

M. Nurisso; M. Raviola; A. Tosin 

European Journal Of Applied Mathematics. 2024-02-02. DOI : 10.1017/S0956792524000020.

2023

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Y. Kazashi; F. Nobile; F. Zoccolan 

2023-08-23.  p. 32. DOI : 10.48550/arXiv.2308.11581.

A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor

D. Goutaudier; F. Nobile; J. Schiffmann 

International Journal For Numerical Methods In Engineering. 2023-06-09. DOI : 10.1002/nme.7305.

Density estimation in RKHS with application to Korobov spaces in high dimensions

Y. Kazashi; F. Nobile 

Siam Journal On Numerical Analysis. 2023-01-01. Vol. 61, num. 2, p. 1080-1102. DOI : 10.1137/22M147476X.

Robust optimization of control parameters for WEC arrays using stochastic methods

M. Gambarini; G. Ciaramella; E. Miglio; T. Vanzan; T. Vanzan 

Journal Of Computational Physics. 2023. Vol. 493, p. 112478.

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

A. Zanoni 

Ima Journal Of Applied Mathematics. 2023-02-16. Vol. 88, num. 1, p. 67-101. DOI : 10.1093/imamat/hxad003.

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

 

2023-03-09. 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Linz, Austria, July 17-21, 2022. DOI : 10.48550/arXiv.2303.05390.

A multigrid method for PDE-constrained optimization with uncertain inputs

G. Ciaramella; F. Nobile; T. Vanzan 

2023-02-27. 

Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings

J. P. Madrigal Cianci; F. Nobile; R. Tempone 

SIAM/ASA Journal on Uncertainty Quantification. 2023. Vol. 11, num. 1, p. 91-138. DOI : 10.1137/21M1420927.

Preconditioners for robust optimal control problems under uncertainty

F. Nobile; T. Vanzan 

Numerical Linear Algebra with Applications. 2023. Vol. 30, num. 2, p. e2472. DOI : 10.1002/nla.2472.

Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method

S. S. Ganesh; F. Nobile 

Journal of Computational Physics. 2023-12-15. Vol. 495, num. 112523. DOI : 10.1016/j.jcp.2023.112523.

Quantifying uncertain system outputs via the multi-level Monte Carlo method — distribution and robustness measures

Q. Ayoul-Guilmard; S. S. Ganesh; S. Krumscheid; F. Nobile 

International Journal for Uncertainty Quantification. 2023. Vol. 13, num. 5, p. 61-98. DOI : 10.1615/Int.J.UncertaintyQuantification.2023045259.

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton’s method

F. Chaouqui; M. J. Gander; P. M. Kumbhar; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 381–389. DOI : 10.1007/978-3-030-95025-5_40.

A numerical algorithm based on probing to find optimized transmission conditions

M. J. Gander; R. Masson; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 597–605. DOI : 10.1007/978-3-030-95025-5_65.

On the asymptotic optimality of spectral coarse spaces

G. Ciaramella; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 187–195. DOI : 10.1007/978-3-030-95025-5_18.

2022

Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit

G. A. Pavliotis; A. Zanoni 

Siam Journal On Applied Dynamical Systems. 2022-01-01. Vol. 21, num. 4, p. 2338-2370. DOI : 10.1137/21M1464348.

Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation

M. J. Grote; S. Michel; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2022. Vol. 10, num. 4, p. 1601-1628. DOI : 10.1137/21M1429047.

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

A. Zanoni / F. Nobile; G. A. Pavliotis (Dir.)  

Lausanne, EPFL, 2022. 

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

S. S. Ganesh / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

A combination technique for optimal control problems constrained by random PDEs

F. Nobile; T. Vanzan 

2022-11-01

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

E. Vidlicková / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

Linear and nonlinear substructured Restricted Additive Schwarz iterations and preconditioning

F. Chaouqui; M. J. Gander; P. M. Kumbhar; T. Vanzan 

Numerical Algorithms. 2022-04-22. Vol. 91, p. 81–107. DOI : 10.1007/s11075-022-01255-5.

Spectral Coarse Spaces for the Substructured Parallel Schwarz Method

G. Ciaramella; T. Vanzan 

Journal of Scientific Computing. 2022-04-16. Vol. 91, p. 69. DOI : 10.1007/s10915-022-01840-9.

HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

J. P. Madrigal Cianci / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

Tensor-Based Numerical Method For Stochastic Homogenization

Q. Ayoul-guilmard; A. Nouy; C. Binetruy 

Multiscale Modeling & Simulation. 2022-01-01. Vol. 20, num. 1, p. 36-71. DOI : 10.1137/18M1191221.

A technique for non-intrusive greedy piecewise-rational model reduction of frequency response problems over wide frequency bands

D. Pradovera; F. Nobile 

Journal of Mathematics in Industry. 2022-01-03. Vol. 12, num. 2. DOI : 10.1186/s13362-021-00117-4.

Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification

V. Kaarnioja; Y. Kazashi; F. Y. Kuo; F. Nobile; I. H. Sloan 

Numerische Mathematik. 2022. Vol. 150, p. 33–77. DOI : 10.1007/s00211-021-01242-3.

Substructured Two-grid and Multi-grid Domain Decomposition Methods

G. Ciaramella; T. Vanzan 

Numerical Algorithms. 2022-03-13. Vol. 91, p. 413–448. DOI : 10.1007/s11075-022-01268-0.

Some first results on the consistency of spatial regression with partial differential equation regularization

E. Arnone; A. Kneip; F. Nobile; L. M. Sangalli 

Statistica Sinica. 2022. Vol. 32, num. 1, p. 209-238. DOI : 10.5705/ss.202019.0346.

Stable high-order randomized cubature formulae in arbitrary dimension

G. Migliorati; F. Nobile 

Journal of Approximation Theory. 2022-03-01. Vol. 275, p. 105706. DOI : 10.1016/j.jat.2022.105706.

2021

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Approximation of the Heat Equation with Random Coefficients

F. Nobile; E. Vidlicková 

2021. Sparse Grids and Applications, Munich, 2018. DOI : 10.1007/978-3-030-81362-8_6.

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

D. Pradovera; F. Nobile 

2021-01-01. 13th International Conference on Scientific Computing in Electrical Engineering (SCEE), Eindhoven, NETHERLANDS, Feb 16-20, 2020. p. 159-167. DOI : 10.1007/978-3-030-84238-3_16.

Rational-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots

F. Bonizzoni; D. Pradovera; M. Ruggeri 

2021

Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations

Y. Kazashi; F. Nobile; E. Vidlickova 

Numerische Mathematik. 2021-11-17. Vol. 149, num. 4, p. 973-1024. DOI : 10.1007/s00211-021-01241-4.

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

D. Pradovera / F. Nobile (Dir.)  

Lausanne, EPFL, 2021. 

Generalized parallel tempering on Bayesian inverse problems

J. Latz; J. P. Madrigal-Cianci; F. Nobile; R. Tempone 

Statistics And Computing. 2021-09-01. Vol. 31, num. 5, p. 67. DOI : 10.1007/s11222-021-10042-6.

Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

F. Nobile; D. Pradovera 

ESAIM: Mathematical Modelling and Numerical Analysis. 2021-09-17. Vol. 55, num. 5, p. 1895-1920. DOI : 10.1051/m2an/2021040.

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

M. Martin; S. Krumscheid; F. Nobile 

ESAIM: Mathematical Modelling and Numerical Analysis. 2021-08-03. Vol. 55, num. 4, p. 1599-1633. DOI : 10.1051/m2an/2021025.

Function Integration, Reconstruction And Approximation Using Rank-1 Lattices

F. Y. Kuo; G. Migliorati; F. Nobile; D. Nuyens 

Mathematics Of Computation. 2021-07-01. Vol. 90, num. 330, p. 1861-1897. DOI : 10.1090/mcom/3595.

A hybrid collocation-perturbation approach for PDEs with random domains

J. E. Castrillon-Candas; F. Nobile; R. F. Tempone 

Advances In Computational Mathematics. 2021-06-01. Vol. 47, num. 3, p. 40. DOI : 10.1007/s10444-021-09859-6.

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling

F. Bonizzoni; D. Pradovera 

2021-03-11. 14th WCCM-ECCOMAS Congress, Virtual Congress, January 11-15, 2021. DOI : 10.23967/wccm-eccomas.2020.300.

Multilevel ensemble Kalman filtering for spatio-temporal processes

A. Chernov; H. Hoel; K. J. H. Law; F. Nobile; R. Tempone 

Numerische Mathematik. 2021. Vol. 147, num. 1, p. 71-125. DOI : 10.1007/s00211-020-01159-3.

Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Y. Kazashi; F. Nobile 

Stochastics And Partial Differential Equations-Analysis And Computations. 2021. Vol. 9, p. 603–629. DOI : 10.1007/s40072-020-00177-4.

Wavelet-Fourier CORSING techniques for multidimensional advection-diffusion-reaction equations

S. Brugiapaglia; S. Micheletti; F. Nobile; S. Perotto 

IMA Journal of Numerical Analysis. 2021. Vol. 41, p. 2744 – 2781. DOI : 10.1093/imanum/draa036.

PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA

M. C. Martin; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2021. Vol. 9, num. 3, p. 979-1012. DOI : 10.1137/18M1224076.

2020

Integration of activation maps of epicardial veins in computational cardiac electrophysiology

S. Stella; C. Vergara; M. Maines; D. Catanzariti; P. C. Africa et al. 

Computers In Biology And Medicine. 2020-12-01. Vol. 127, p. 104047. DOI : 10.1016/j.compbiomed.2020.104047.

Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem

F. Bonizzoni; F. Nobile 

Computers & Mathematics with Applications. 2020. Vol. 80, num. 12, p. 2925-2947. DOI : 10.1016/j.camwa.2020.10.014.

Interpolatory Rational Model Order Reduction of Parametric Problems Lacking Uniform Inf-Sup Stability

D. Pradovera 

SIAM Journal on Numerical Analysis. 2020-08-12. Vol. 58, num. 4, p. 2265-2293. DOI : 10.1137/19M1269695.

Sparse Polynomial Chaos expansions using variational relevance vector machines

P. Tsilifis; I. Papaioannou; D. Straub; F. Nobile 

Journal of Computational Physics. 2020. Vol. 416, p. 109498. DOI : 10.1016/j.jcp.2020.109498.

Quantifying uncertain system outputs via the multilevel Monte Carlo method — Part I: Central moment estimation

S. Krumscheid; F. Nobile; M. Pisaroni 

Journal of Computational Physics. 2020. Vol. 414, p. 109466. DOI : 10.1016/j.jcp.2020.109466.

Symplectic dynamical low rank approximation of wave equations with random parameters

E. Musharbash; F. Nobile; E. Vidlicková 

BIT Numerical Mathematics. 2020. Vol. 60, p. 1153-1201. DOI : 10.1007/s10543-020-00811-6.

Numerical methods for conservation laws with rough flux

H. Hoel; K. H. Karlsen; N. H. Risebro; E. B. Storrosten 

Stochastics And Partial Differential Equations-Analysis And Computations. 2020-03-01. Vol. 8, num. 1, p. 186-261. DOI : 10.1007/s40072-019-00145-7.

Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

D. Pradovera; F. Nobile 

13th International Conference on Scientific Computing in Electrical Engineering, Eindhoven, Netherlands, February 16-20, 2020.

Multilevel weighted least squares polynomial approximation

A-L. Haji-Ali; F. Nobile; S. Wolfers; R. Tempone 

ESAIM: Mathematical Modelling and Numerical Analysis. 2020. Vol. 54, p. 649-677. DOI : 10.1051/m2an/2019045.

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

M. C. Martin; F. Nobile; P. Tsilifis 

2020-01-09

Fast Least-Squares Padé approximation of problems with normal operators and meromorphic structure

F. Bonizzoni; F. Nobile; I. Perugia; D. Pradovera 

Mathematics of Computation. 2020. Vol. 89, num. 323, p. 1229-1257. DOI : 10.1090/mcom/3511.

Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

F. Bonizzoni; F. Nobile; I. Perugia; D. Pradovera 

Advances in Computational Mathematics. 2020. Vol. 46, num. 3, p. 46. DOI : 10.1007/s10444-020-09749-3.

2019

Distributed sampling for rational approximation of the acoustic scattering of an airfoil

F. Bonizzoni; D. Pradovera 

2019-11-18. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria, Feb 18-22, 2019. DOI : 10.1002/pamm.201900422.

Central limit theorems for multilevel Monte Carlo methods

H. Hoel; S. Krumscheid 

Journal Of Complexity. 2019-10-01. Vol. 54, p. 101407. DOI : 10.1016/j.jco.2019.05.001.

Compressive sensing adaptation for polynomial chaos expansions

P. Tsilifis; X. Huan; C. Safta; K. Sargsyan; G. Lacaze et al. 

Journal Of Computational Physics. 2019-03-01. Vol. 380, p. 29-47. DOI : 10.1016/j.jcp.2018.12.010.

Stochastic approximation methods for PDE constrained optimal control problems with uncertain parameters

M. C. Martin / F. Nobile (Dir.)  

Lausanne, EPFL, 2019. 

Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

M. Pisaroni; F. Nobile; P. Leyland 

Journal of Aircraft. 2019. Vol. 56, num. 2, p. 771-786. DOI : 10.2514/1.C035054.

Quantifying uncertainties in contact mechanics of rough surfaces using the multilevel Monte Carlo method

V. Rey; S. Krumscheid; F. Nobile 

International Journal of Engineering Science. 2019. Vol. 138, p. 50-64. DOI : 10.1016/j.ijengsci.2019.02.003.

Modeling spatially dependent functional data via regression with differential regularization

E. Arnone; L. Azzimonti; F. Nobile; L. M. Sangalli 

Journal of Multivariate Analysis. 2019. Vol. 170, p. 175-295. DOI : 10.1016/j.jmva.2018.09.006.

2018

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

P. Tsilifis; R. G. Ghanem 

Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences. 2018-09-01. Vol. 474, num. 2217, p. 20180285. DOI : 10.1098/rspa.2018.0285.

Path-dependent convex conservation laws

H. Hoel; K. Karlsen; N. Risebro; E. Storrosten 

JOURNAL OF DIFFERENTIAL EQUATIONS. 2018. Vol. 265, num. 6, p. 2708-2744. DOI : 10.1016/j.jde.2018.04.045.

Perturbation-based inference for diffusion processes: Obtaining effective models from multiscale data

S. Krumscheid 

Mathematical Models and Methods in Applied Sciences. 2018. Vol. 28, num. 08, p. 1565-1597. DOI : 10.1142/S0218202518500434.

Sparse approximation of multilinear problems with applications to kernel-based methods in UQ

F. Nobile; R. Tempone; S. Wolfers 

Numerische Mathematik. 2018. Vol. 139, num. 1, p. 247-280. DOI : 10.1007/s00211-017-0932-4.

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method

D. S. Guignard; F. Nobile 

SIAM Journal on Numerical Analysis. 2018. Vol. 56, num. 5, p. 3121-3143. DOI : 10.1137/17M1155454.

Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins

I. Colombo; F. Nobile; G. Porta; A. Scotti; L. Tamellini 

Computer Methods in Applied Mechanics and Engineering. 2018. Vol. 328, p. 122-146. DOI : 10.1016/j.cma.2017.08.049.

Multilevel Monte Carlo Approximation of Functions

S. Krumscheid; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2018. Vol. 6, num. 3, p. 1256-1293. DOI : 10.1137/17M1135566.

Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions

E. Musharbash; F. Nobile 

Journal of Computational Physics. 2018. Vol. 354, p. 135-162. DOI : 10.1016/j.jcp.2017.09.061.

Convergence analysis of Padé approximations for Helmholtz frequency response problems

F. Bonizzoni; F. Nobile; I. Perugia 

ESAIM: Mathematical Modelling and Numerical Analysis. 2018. Vol. 52, num. 4, p. 1261-1284. DOI : 10.1051/m2an/2017050.

A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems

S. Brugiapaglia; F. Nobile; S. Micheletti; S. Perotto 

Mathematics of Computation. 2018. Vol. 87, p. 1-38. DOI : 10.1090/mcom/3209.

2017

Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics

M. Pisaroni / P. Leyland; F. Nobile (Dir.)  

Lausanne, EPFL, 2017. 

On uncertainty quantification in hydrogeology and hydrogeophysics

N. Linde; D. Ginsbourger; J. Irving; F. Nobile; A. Doucet 

Advances in Water Resources. 2017. Vol. 110, p. 166-181. DOI : 10.1016/j.advwatres.2017.10.014.

Influence of Ablation on Vacuum-Ultraviolet Radiation in a Plasma Wind Tunnel Flow

T. Hermann; S. Lohle; S. Fasoulas; P. Leyland; L. Marraffa et al. 

Journal Of Thermophysics And Heat Transfer. 2017. Vol. 31, num. 3, p. 575-585. DOI : 10.2514/1.T4936.

Dynamical Low Rank approximation of PDEs with random parameters

E. Musharbash / F. Nobile (Dir.)  

Lausanne, EPFL, 2017. 

A Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

M. Pisaroni; F. Nobile; P. Leyland 

2017. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Denver, Colorado, USA, 5-9 June 2017. DOI : 10.2514/6.2017-3329.

MATHICSE Technical Report : Continuation Multi-Level Monte-Carlo method for Uncertainty Quantification in Turbulent Compressible Aerodynamics Problems modeled by RANS

M. Pisaroni; F. Nobile; P. Leyland 

2017-05-11

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

M. Pisaroni; F. Nobile; P. Leyland 

Computer Methods in Applied Mechanics and Engineering. 2017. Vol. 326, p. 20-50. DOI : 10.1016/j.cma.2017.07.030.

A posteriori error estimation for the steady Navier-Stokes equations in random domains

D. S. Guignard; F. Nobile; M. Picasso 

Computer Methods in Applied Mechanics and Engineering. 2017. Vol. 313, p. 483-511. DOI : 10.1016/j.cma.2016.10.008.

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A. Cohen; G. Migliorati; F. Nobile 

Constructive Approximation. 2017. Vol. 45, num. 3, p. 497-519. DOI : 10.1007/s00365-017-9364-8.

2016

Efficient approximation of the contact area between rough surfaces

V. Rey; J-F. Molinari; G. Anciaux; F. Nobile; S. Krumscheid 

Engineering Mechanics Institute International Conference, Metz, France, October 25-27, 2016.

A posteriori error estimation for partial differential equations with random input data

D. S. Guignard / F. Nobile; M. Picasso (Dir.)  

Lausanne, EPFL, 2016. 

A Multi Level Monte Carlo Algorithm for the Treatment of Geometrical and Operational Uncertainties in Internal and External Aerodynamics

M. Pisaroni; P. Leyland; F. Nobile 

2016. AIAA Aviation – 46th AIAA Fluid Dynamics Conference, Washington, D.C, 13-17 June 2016. p. 4398. DOI : 10.2514/6.2016-4398.

Numerical methods for random and stochastic partial differential equations

A. Chernov; A. Debussche; F. Nobile 

Stochastics and Partial Differential Equations Analysis and Computations. 2016. Vol. 4, num. 1, p. 1-2. DOI : 10.1007/s40072-016-0073-2.

An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient

F. Nobile; L. Tamellini; F. Tesei; R. Tempone 

Sparse Grids and Applications – Stuttgart 2014; Berlin: Springer, 2016. p. 191-220.

Numerical Approximation of Flows in Random Porous Media

F. Tesei / F. Nobile (Dir.)  

Lausanne, EPFL, 2016. 

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

A-L. Haji-Ali; F. Nobile; L. Tamellini; R. Tempone 

Foundations of Computational Mathematics. 2016. Vol. 16, num. 6, p. 1555-1605. DOI : 10.1007/s10208-016-9327-7.

Multi-index Stochastic Collocation for random PDEs

A-L. Haji-Ali; F. Nobile; L. Tamellini; R. Tempone 

Computer Methods in Applied Mechanics and Engineering. 2016. Vol. 306, p. 95-122. DOI : 10.1016/j.cma.2016.03.029.

A posteriori error estimations for elliptic partial differential equations with small uncertainties

D. S. Guignard; F. Nobile; M. Picasso 

Numerical Methods for Partial Differential Equations. 2016. Vol. 32, num. 1, p. 175-212. DOI : 10.1002/num.21991.

Tensor train approximation of moment equations for elliptic equations with lognormal coefficient

F. Bonizzoni; F. Nobile; D. Kressner 

Computer Methods in Applied Mechanics and Engineering. 2016. Vol. 308, p. 349-376. DOI : 10.1016/j.cma.2016.05.026.

Analytic regularity and collocation approximation for elliptic PDEs with Random domain deformations

J. E. Castrillón-Candás; F. Nobile; R. Tempone 

Computers and Mathematics with Applications. 2016. Vol. 71, num. 6, p. 1173-1197. DOI : 10.1016/j.camwa.2016.01.005.

Multi-index Monte Carlo: when sparsity meets sampling

A-L. Haji-Ali; F. Nobile; R. Tempone 

Numerische Mathematik. 2016. Vol. 132, num. 4, p. 767-806. DOI : 10.1007/s00211-015-0734-5.

Optimization of mesh hierarchies in multilevel Monte Carlo samplers

A-L. Haji-Ali; F. Nobile; E. von Schwerin; R. Tempone 

Stochastic Partial Differential Equations: Analysis and Computations. 2016. Vol. 4, num. 1, p. 76-112. DOI : 10.1007/s40072-015-0049-7.

Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs

F. Nobile; L. Tamellini; R. Tempone 

Numerische Mathematik. 2016. Vol. 134, num. 2, p. 343-388. DOI : 10.1007/s00211-015-0773-y.