Browse by UCL people
Group by: Type | Date
Number of items: 32.
Article
Beck, J;
Guillas, S;
(2016)
Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model.
SIAM/ASA Journal on Uncertainty Quantification
, 4
(1)
pp. 739-766.
10.1137/140989613.
|
Behrens, J;
Lovholt, F;
Jalayer, F;
Lorito, S;
Salgado-Galvez, MA;
Sorensen, M;
Abadie, S;
... Vyhmeister, E; + view all
(2021)
Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps.
Frontiers in Earth Science
, 9
, Article ARTN 628. 10.3389/feart.2021.628772.
|
Chang, KL;
Guillas, S;
(2019)
Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model.
Journal of the Royal Statistical Society - Applied Statistics: Series C
, 68
(1)
pp. 51-78.
10.1111/rssc.12309.
|
Dabo-Niang, S;
Guillas, S;
Ternynck, C;
(2016)
Efficiency in multivariate functional nonparametric models with autoregressive errors.
Journal of Multivariate Analysis
, 147
pp. 168-182.
10.1016/j.jmva.2016.01.007.
|
Dignan, Jack;
Hayward, Matthew W;
Salmanidou, Dimitra;
Heidarzadeh, Mohammad;
Guillas, Serge;
(2023)
Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation.
Earth and Space Science
, 10
(8)
, Article e2023EA002951. 10.1029/2023ea002951.
|
Ehara, Ayao;
Guillas, Serge;
(2023)
An adaptive strategy for sequential designs of multilevel computer experiments.
International Journal for Uncertainty Quantification
, 13
(4)
pp. 61-98.
10.1615/Int.J.UncertaintyQuantification.2023038376.
(In press).
|
Ehara, Ayao;
Salmanidou, Dimitra M;
Heidarzadeh, Mohammad;
Guillas, Serge;
(2022)
Multi-level emulation of tsunami simulations over Cilacap, South Java, Indonesia.
Computational Geosciences
10.1007/s10596-022-10183-1.
(In press).
|
Gaudart, J;
Cloutman-Green, E;
Guillas, S;
D'Arcy, N;
Hartley, JC;
Gant, V;
Klein, N;
(2013)
Healthcare Environments and Spatial Variability of Healthcare Associated Infection Risk: Cross-Sectional Surveys.
PLOS ONE
, 8
(9)
, Article ARTN e76249. 10.1371/journal.pone.0076249.
|
Giles, D;
Gopinathan, D;
Guillas, S;
Dias, F;
(2021)
Faster Than Real Time Tsunami Warning with Associated Hazard Uncertainties.
Frontiers in Earth Science
, 8
, Article 597865. 10.3389/feart.2020.597865.
|
Giles, D;
Kashdan, E;
Salmanidou, DM;
Guillas, S;
Dias, F;
(2020)
Performance analysis of Volna-OP2 – massively parallel code for tsunami modelling.
Computers & Fluids
, 209
, Article 104649. 10.1016/j.compfluid.2020.104649.
|
Gopinathan, D;
Heidarzadeh, M;
Guillas, S;
(2021)
Probabilistic quantification of tsunami current hazard using statistical emulation.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 477
(2250)
, Article 20210180. 10.1098/rspa.2021.0180.
|
Gopinathan, D;
Venugopal, M;
Roy, D;
Rajendran, K;
Guillas, S;
Dias, F;
(2017)
Uncertainties in the 2004 Sumatra-Andaman source through nonlinear stochastic inversion of tsunami waves.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 473
(2205)
10.1098/rspa.2017.0353.
|
Guillas, S;
Glover, N;
Malki-Epshtein, L;
(2014)
Bayesian calibration of the constants of the k-epsilon turbulence model for a CFD model of street canyon flow.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
, 279
536 - 553.
10.1016/j.cma.2014.06.008.
|
Guillas, S;
Sarri, A;
Day, S;
Liu, X;
Dias, F;
(2018)
Functional emulation of high resolution tsunami modelling over Cascadia.
Annals of Applied Statistics
, 12
(4)
pp. 2023-2053.
10.1214/18-AOAS1142.
|
Ilyas, M;
Nychka, D;
Brierley, C;
Guillas, S;
(2021)
Global ensemble of temperatures over 1850-2018: quantification of uncertainties in observations, coverage, and spatial modeling (GETQUOCS).
Atmospheric Measurement Techniques
, 14
(11)
pp. 7103-7121.
10.5194/amt-14-7103-2021.
|
Ilyas, M;
Brierley, CM;
Guillas, S;
(2017)
Uncertainty in regional temperatures inferred from sparse global observations: Application to a probabilistic classification of El Niño.
Geophysical Research Letters
, 44
(17)
pp. 9068-9074.
10.1002/2017GL074596.
|
Kanai, Ryuichi;
Kamogawa, Masashi;
Nagao, Toshiyasu;
Smith, Alan;
Guillas, Serge;
(2022)
Robust uncertainty quantification of the volume of tsunami ionospheric holes for the 2011 Tohoku-Oki earthquake: towards low-cost satellite-based tsunami warning systems.
Natural Hazards and Earth System Sciences
, 22
(3)
pp. 849-868.
10.5194/nhess-22-849-2022.
|
Liu, X;
Guillas, S;
(2017)
Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights.
SIAM/ASA Journal on Uncertainty Quantification
, 5
(1)
pp. 787-812.
10.1137/16M1090648.
|
Liu, X;
Guillas, S;
Lai, M-J;
(2016)
Efficient spatial modelling using the SPDE approach with bivariate splines.
Journal of Computational and Graphical Statistics
, 25
(4)
pp. 1176-1194.
10.1080/10618600.2015.1081597.
|
Miller, AJ;
Cai, A;
Tiao, G;
Wuebbles, DJ;
Flynn, LE;
Yang, S-K;
Weatherhead, EC;
... Reinsel, GC; + view all
(2006)
Examination of ozonesonde data for trends and trend changes incorporating solar and Arctic oscillation signals.
Journal of Geophysical Research - Atmospheres
, 111
(D13)
, Article D13305. 10.1029/2005JD006684.
|
Ming, Deyu;
Williamson, Daniel;
Guillas, Serge;
(2022)
Deep Gaussian Process Emulation using Stochastic Imputation.
Technometrics
10.1080/00401706.2022.2124311.
(In press).
|
Reguly, IZ;
Giles, D;
Gopinathan, D;
Quivy, L;
Beck, JH;
Giles, MB;
Guillas, S;
(2018)
The VOLNA-OP2 tsunami code (version 1.5).
Geoscientific Model Development
, 11
(11)
pp. 4621-4635.
10.5194/gmd-11-4621-2018.
|
Salmanidou, DM;
Beck, J;
Pazak, P;
Guillas, S;
(2021)
Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation.
Natural Hazards and Earth System Sciences
, 21
(12)
pp. 3789-3807.
10.5194/nhess-21-3789-2021.
|
Salmanidou, DM;
Ehara, A;
Himaz, R;
Heidarzadeh, M;
Guillas, S;
(2021)
Impact of future tsunamis from the Java trench on household welfare: Merging geophysics and economics through catastrophe modelling.
International Journal of Disaster Risk Reduction
, 61
, Article 102291. 10.1016/j.ijdrr.2021.102291.
(In press).
|
Salmanidou, DM;
Georgiopoulou, A;
Guillas, S;
Dias, F;
(2018)
Rheological considerations for the modelling of submarine sliding at Rockall Bank, NE Atlantic Ocean.
Physics of Fluids
, 30
(3)
, Article 030705. 10.1063/1.5009552.
|
Salmanidou, DM;
Guillas, S;
Georgiopoulou, A;
Dias, F;
(2017)
Statistical emulation of landslide-induced tsunamis at the Rockall Bank, NE Atlantic.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 473
(2200)
, Article 20170026. 10.1098/rspa.2017.0026.
|
Salmanidou, DM;
Heidarzadeh, M;
Guillas, S;
Probabilistic Landslide-Generated Tsunamis in the Indus Canyon, NW Indian Ocean, Using Statistical Emulation.
Pure and Applied Geophysics
10.1007/s00024-019-02187-3.
(In press).
|
Sun, HZ;
Zhao, J;
Liu, X;
Qiu, M;
Shen, H;
Guillas, S;
Giorio, C;
... Archibald, AT; + view all
(2023)
Antagonism between ambient ozone increase and urbanization-oriented population migration on Chinese cardiopulmonary mortality.
Innovation
, 4
(6)
, Article 100517. 10.1016/j.xinn.2023.100517.
(In press).
|
Proceedings paper
Glover, N;
Guillas, S;
Malki-Epshtein, L;
(2011)
Statistical calibration of CFD modelling for street canyon flows.
In:
Proceedings of Building Simulation 2011.
(pp. pp. 1513-1520).
International Building Performance Simulation Association (IBSPA): Sydney, Australia.
|
Li, K;
Giles, D;
Karvonen, T;
Guillas, S;
Briol, FX;
(2023)
Multilevel Bayesian Quadrature.
In:
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics.
(pp. pp. 1845-1868).
Proceedings of Machine Learning Research (PMLR): Valencia, Spain.
|
Report
Day, S;
Edwards, S;
Fearnley, C;
Kilburn, C;
McGuire, B;
Stanbrough, L;
Wall, R;
+ view all
(2010)
Volcanic Hazard from Iceland: analysis and implications of the Eyjafjallajokull eruption.
UCL Institute of Risk and Disaster Reduction
|
Working / discussion paper
Li, Kaiyu;
Giles, Daniel;
Karvonen, Toni;
Guillas, Serge;
Briol, François-Xavier;
(2022)
Multilevel Bayesian Quadrature.
arXiv: Ithaca, NY, USA.
|