Maliki Moustapha
Statistics and Probability · 2021
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 27 citations into it
- Civil and Structural Engineering — 10 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Management Science and Operations Research — 10 citations into it
- Mechanics of Materials — 5 citations into it
- Safety, Risk, Reliability and Quality — 5 citations into it
Whom Maliki Moustapha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Echard
- Ilya M. Sobol
- C. Bucher
- Siu-Kui Au
- Stefano Marelli
- Pritam Ranjan
- Paul G. Constantine
- Nicolas Gayton
- Bruno Sudret
- Maurice Lemaire
Papers from Maliki Moustapha's perspective
Ordered by how strongly the researchers Maliki Moustapha trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Experiment Design for Contour Estimation From Complex Computer Codes
- AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
- Assessing small failure probabilities by combined subset simulation and Support Vector Machines
- Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation
- On the distribution of points in a cube and the approximate evaluation of integrals
- A new learning function for Kriging and its applications to solve reliability problems in engineering (Computers and Mathematics with Applications)
- Reliability of structures in high dimensions, part I: algorithms and applications
Their papers
- Active learning for structural reliability: Survey, general framework and benchmark (2021) — 258 citations