Serge Guillas

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Frederic DiasProfessor of Applied Mathematics, University College DublinVerified email at ucd.ie
Dimitra SalmanidouUniversity College LondonVerified email at ucl.ac.uk
Joakim BeckResearch Scientist, Uncertainty Quantification in Computational Science & Engineering, KAUSTVerified email at kaust.edu.sa
Donald WuebblesUniversity of Illinois, at Urbana-ChampaignVerified email at illinois.edu
Arthur D RichmondNational Center for Atmospheric ResearchVerified email at ucar.edu
Devaraj GopinathanSenior Research Data ScientistVerified email at ucl.ac.uk
Ming-Jun LaiProfessor of Mathematics, University of GeorgiaVerified email at uga.edu
Wenceslao Gonzalez ManteigaCatedrático de Universidad, Universidad de Santiago de CompostelaVerified email at usc.es
Aggeliki GeorgiopoulouSenior Lecturer in Sedimentology/Stratigraphy, University of BrightonVerified email at brighton.ac.uk
Liora Malki-EpshteinAssociate Professor, Department of Civil, Environmental and Geomatic Engineering, UCLVerified email at ucl.ac.uk
Vitali FioletovEnvironment and Climate Change CanadaVerified email at canada.ca
Jonathan RougierHonorary Professor, School of Mathematics, University of BristolVerified email at bristol.ac.uk
Elaine Cloutman-GreenUCLVerified email at gosh.nhs.uk
Yuhang WangGeorgia TechVerified email at eas.gatech.edu
Jean GaudartAix-Marseille UniversityVerified email at univ-amu.fr
Kai-Lan ChangCIRES, NOAA Chemical Sciences LaboratoryVerified email at noaa.gov
Christopher BrierleyUniversity College LondonVerified email at ucl.ac.uk
Michael SteinUniversity of ChicagoVerified email at galton.uchicago.edu
Jeremy MorleyOrdnance SurveyVerified email at os.uk
Debasish RoyDepartment of Civil Engineering and Centre of Excellence in Advanced Mechanics of MaterialsVerified email at iisc.ac.in

Serge Guillas

Professor of Statistics, University College London

Verified email at ucl.ac.uk - Homepage

Statistics Uncertainty Quantification Functional Data Analysis Environmental Statistics


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The inclusion of exogenous variables in functional autoregressive ozone forecasting J Damon, S Guillas Environmetrics 13 (7), 759-774, 2002	140	2002
Sequential design with mutual information for computer experiments (MICE): Emulation of a tsunami model J Beck, S Guillas SIAM/ASA Journal on Uncertainty Quantification 4 (1), 739-766, 2016	99	2016
Bayesian calibration of the constants of the k–ε turbulence model for a CFD model of street canyon flow S Guillas, N Glover, L Malki-Epshtein Computer methods in applied mechanics and engineering 279, 536-553, 2014	84	2014
Bivariate splines for spatial functional regression models S Guillas, MJ Lai Journal of Nonparametric Statistics 22 (4), 477-497, 2010	72	2010
Expert knowledge and multivariate emulation: The thermosphere–ionosphere electrodynamics general circulation model (TIE-GCM) J Rougier, S Guillas, A Maute, AD Richmond Technometrics 51 (4), 414-424, 2009	66	2009
Dimension reduction for Gaussian process emulation: An application to the influence of bathymetry on tsunami heights X Liu, S Guillas SIAM/ASA Journal on Uncertainty Quantification 5 (1), 787-812, 2017	65	2017
Probabilistic tsunami hazard and risk analysis: a review of research gaps J Behrens, F Løvholt, F Jalayer, S Lorito, MA Salgado-Gálvez, ... Frontiers in Earth Science 9, 628772, 2021	64	2021
Functional samples and bootstrap for predicting sulfur dioxide levels BF De Castro, S Guillas, WG Manteiga Technometrics 47 (2), 212-222, 2005	62	2005
Rates of convergence of autocorrelation estimates for autoregressive Hilbertian processes S Guillas Statistics & probability letters 55 (3), 281-291, 2001	52	2001
Statistical emulation of a tsunami model for sensitivity analysis and uncertainty quantification A Sarri, S Guillas, F Dias Natural Hazards and Earth System Sciences 12, 2003-2018, 2012	51	2012
Estimation and simulation of autoregressive hilbertian processes with exogenous variables J Damon, S Guillas Statistical Inference for Stochastic Processes 8, 185-204, 2005	51	2005
Statistical correction and downscaling of chemical transport model ozone forecasts over Atlanta S Guillas, J Bao, Y Choi, Y Wang Atmospheric Environment 42 (6), 1338-1348, 2008	43	2008
Statistical emulation of landslide-induced tsunamis at the Rockall Bank, NE Atlantic DM Salmanidou, S Guillas, A Georgiopoulou, F Dias Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017	39	2017
Quantile curve estimation and visualization for nonstationary time series D Draghicescu, S Guillas, WB Wu Journal of Computational and Graphical Statistics 18 (1), 1-20, 2009	35	2009
Global ozone: Past and present MP Chipperfield, VE Fioletov, B Bregman, J Burrows, BJ Connor, ...	31	2006
Examination of ozonesonde data for trends and trend changes incorporating solar and Arctic oscillation signals AJ Miller, A Cai, G Tiao, DJ Wuebbles, LE Flynn, SK Yang, ... Journal of Geophysical Research: Atmospheres 111 (D13), 2006	30	2006
Doubly stochastic Hilbertian processes S Guillas Journal of applied probability 39 (3), 566-580, 2002	28	2002
Functional emulation of high resolution tsunami modelling over Cascadia S Guillas, A Sarri, SJ Day, X Liu, F Dias	27	2018
Surrogate based optimisation for design of pressure swing adsorption systems J Beck, D Friedrich, S Brandani, S Guillas, ES Fraga Computer Aided Chemical Engineering 30, 1217-1221, 2012	25	2012
Healthcare environments and spatial variability of healthcare associated infection risk: cross-sectional surveys J Gaudart, E Cloutman-Green, S Guillas, N D’Arcy, JC Hartley, V Gant, ... PLoS One 8 (9), e76249, 2013	24	2013

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