Stefano Marelli

Statistics and Probability · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 55 citations into it; #10,388 of 12,932 by trust here, #12,077 by citations
• Civil and Structural Engineering — 24 citations into it
• Computational Theory and Mathematics — 18 citations into it
• Management Science and Operations Research — 16 citations into it
• Mechanics of Materials — 12 citations into it
• Environmental Engineering — 10 citations into it
• Safety, Risk, Reliability and Quality — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Stefano Marelli trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bruno Sudret
2. Géraud Blatman
3. Ilya M. Sobol
4. B. Echard
5. C. Bucher
6. Christian Soize
7. Siu-Kui Au
8. Jeremy E. Oakley
9. Pritam Ranjan
10. Paul G. Constantine

Who trusts Stefano Marelli overall

1. Maliki Moustapha
2. Haitao Liu
3. Bruno Sudret

Papers from Stefano Marelli's perspective

Ordered by how strongly the researchers Stefano Marelli trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
2. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
3. Sequential Experiment Design for Contour Estimation From Complex Computer Codes
4. AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
5. Assessing small failure probabilities by combined subset simulation and Support Vector Machines
6. Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (SIAM Journal on Scientific Computing)
7. An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
8. Probabilistic sensitivity analysis of complex models: a Bayesian approach
9. On the distribution of points in a cube and the approximate evaluation of integrals
10. Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

Their papers

• Active learning for structural reliability: Survey, general framework and benchmark (2021) — 258 citations
• Metamodel-based sensitivity analysis: polynomial chaos expansions and Gaussian processes (2016) — 169 citations
• UQLab: a framework for uncertainty quantification in MATLAB (2014) — 1,013 citations
• A critical appraisal of asymptotic 3D-to-2D data transformation in full-waveform seismic crosshole tomography (2013) — 49 citations