Home page – Mascott-Num JOURNAL ARTICLES A review on global sensitivity analysis methods Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes Metamodeling with Gaussian processes – slides Metamodeling with Gaussian processes : references Chilès & Delfiner, Geostatistics, Wiley, 1999 Fang, Li & Sudjianto, Design and modeling for computer experiments, Chapman, 2006 … Read more
John Milburn McFarland
Home page Research interests Gaussian process modeling Covariance function estimation Uncertainty quantification for computer experiments Small-probability estimation Confidence intervals post-model-selection Ph.D thesis : Parametric estimation of covariance function in Gaussian-process based Kriging models. Application to uncertainty quantification for computer models
Laura Swiler
Laura P. Swiler
Keith Dalbey & Laura Swiler
ReDICE was a research project (2011-2015) gathering industry and academia partners around innovative mathematical methods for the design and analysis of computer experiments.
Genetic Programming – Computers using “Natural Selection” to generate programs The Future of Genetic Programming – slides