Maurice Lemaire
Statistics and Probability · 2002–2013
A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 50 citations into it; #939 of 12,932 by trust here, #584 by citations
- Civil and Structural Engineering — 25 citations into it; #282 of 6,160 by trust here, #700 by citations
- Environmental Engineering — 19 citations into it; #634 of 5,479 by trust here, #1,805 by citations
- Management Science and Operations Research — 8 citations into it; #1,853 of 11,946 by trust here, #1,359 by citations
- Statistical and Nonlinear Physics — 6 citations into it
Whom Maurice Lemaire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dongbin Xiu
- Mircea Dan Grigoriu
- Bruno Sudret
- Donald R. Jones
- A. Der Kiureghian
- Ivo Babuska
- G. Em Karniadakis
- George Stefanou
- S. Lophaven
- Jean-Marc Bourinet
Who trusts Maurice Lemaire overall
- Bruno Sudret
- Zhen Hu
- Iason Papaioannou
- V. Dubourg
- Anthony Nouy
- Emmanuel D. Blanchard
- Xiaoping Du
- K. Andrew Cliffe
- Kai Cheng
- G. Kharmanda
Papers from Maurice Lemaire's perspective
Ordered by how strongly the researchers Maurice Lemaire trusts endorse each paper. Same corpus, a different order for every researcher.
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Efficient Global Optimization of Expensive Black-Box Functions
- Sequential Experiment Design for Contour Estimation From Complex Computer Codes
- On the accuracy of the polynomial chaos approximation for random variables and stationary stochastic processes.
- Assessing small failure probabilities by combined subset simulation and Support Vector Machines
- Stochastic Finite-Element Analysis of Seismic Soil-Structure Interaction
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
- AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
- Efficient reliability-based design optimization using a hybrid space with application to finite element analysis
- The geometry of random vibrations and solutions by FORM and SORM
Their papers
- Reliability-based topology optimization (2004) — 315 citations
- AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011) — 1,947 citations
- Stochastic finite element: a non intrusive approach by regression (2006) — 456 citations
- Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011) — 425 citations
- Efficient reliability-based design optimization using a hybrid space with application to finite element analysis (2002) — 172 citations
- The PHI2 method: a way to compute time-variant reliability (2004) — 466 citations
- A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2013) — 655 citations
- Stochastic Finite Elements (2010) — 161 citations
- A stochastic finite element procedure for moment and reliability analysis (2006) — 49 citations
- CQ2RS: a new statistical approach to the response surface method for reliability analysis (2003) — 221 citations