Serge Guillas   


Department of Statistical Science
University College London




My research interests are:

- Functional Data Analysis. For examples, software, bibliography and more see Jim Ramsay's FDA website here.
- Emulation/calibration of complex computer models

- I am also interested in Time Series and Environmental Statistics. I have been involved in an interdisciplinary effort to assess the long term evolution of stratospheric ozone. See the website of the World Meteorological Organization.


Teaching:

STAT1006 - Introduction to Practical Statistics

STAT7001 - Computing for Practical Statistics


Publications:


1. Non-causality and functional discretization, limit theorems for ARHX(1) processes [in French], C. R. Acad. Sci. Paris, t. 331, I, 91-94, 2000.

2. Rates of convergence of autocorrelation estimates for autoregressive Hilbertian processes, Statistics and Probability Letters, 55, n. 3, 281-291, 2001.

3. The inclusion of exogenous variables in functional autoregressive ozone forecasting, Environmetrics, 13, 759-774 (with J. Damon), 2002.

4. Doubly stochastic Hilbertian processes. Journal of Applied Probability 39, n. 3, 566-580, 2002.

5. Using chemistry-transport modeling in statistical analysis of stratospheric ozone trends from observations, S. Guillas, M. L. Stein, D. J. Wuebbles, J. Xia, J. Geophys. Res., 109, D22303, doi:10.1029/2004JD005049, 2004.

6. Estimation and simulation of autoregressive Hilbertian processes with exogenous variables, Statistical Inference for Stochastic Processes, 8, 185-204 (with J. Damon), 2005.

7. Functional Samples and Bootstrap for Predicting Sulfur Dioxide Levels, B. Fernandez de Castro; S. Guillas; W. Gonzalez Manteiga, Technometrics, 47, No. 2, 212-222, 2005.

8. Statistical diagnostic and correction of a chemistry-transport model for the prediction of total column ozone, S. Guillas, G. C. Tiao, D. J. Wuebbles, A. Zubrow, Atmos. Chem. Phys., 6, 525-537, 2006.

9. Examination of ozonesonde data for trends and trend changes incorporating solar and arctic oscillation signals, Miller A.J., Cai A., Tiao G.C., Wuebbles D.J., Flynn L.E., Yang S.K., Weatherhead E.C., Fioletov V., Petropavlovskikh I., Meng X.L., Guillas S., Nagatani R.M. and Reinsel G.C., J. Geophys. Res., 111, D13305, doi:10.1029/2005JD006684, 2006.

10. Guillas, S., discussion of the paper Parameter Estimation for Differential Equations: A Generalized Smoothing Approach by Ramsay, Hooker, Campbell and Cao, Journal of the Royal Statistical Society, Series B , 69 (5), 741-796. 2007.

11. Guillas, S., J. Bao, Y. Choi, and Y. Wang, Statistical correction and downscaling of chemical transport model ozone forecasts over Atlanta, Atmospheric Environment 42 (6), 1338-1348, 2008.

12. Draghicescu D., Guillas S. and Wu W. B., Quantile curve estimation and visualization for non-stationary time series, Journal of Computational and Graphical Statistics, 18(1), 1-20, doi: 10.1198/jcgs.2009.0001, 2009.

13. Bakare, A., Guillas, S., Morley, J., Simons R., A Two-Dimensional Spatial Statistical Model for Morphodynamic Seabed Modelling and Prediction, Paper 107, PROCEEDINGS OF COASTAL DYNAMICS 2009 (CD-ROM), Tokyo, Japan, 7-11 September 2009.

14. S. Guillas, J. Rougier, A. Maute, A.D. Richmond, C.D. Linkletter, Bayesian calibration of the Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM), Geoscientific Model Development (GMD) 2, 137-144, 2009.

15. J.Rougier, S. Guillas, A. Maute, and A.D. Richmond. Expert Knowledge and Multivariate Emulation: The Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM), Technometrics 51(4), 414-424, 2009.

16. S. Dabo-Niang, S. Guillas, Functional semiparametric partially linear model with autoregressive errors, Journal of Multivariate Analysis, 101(2), 307-315, doi:10.1016/j.jmva.2008.06.008, 2010.

17. Guillas, S., Lai, M.-J., Bivariate Splines for Spatial Functional Regression Models, Journal of Nonparametric Statistics, in press, 2010.

18. Guillas, S., Bakare, A., Morley, J., Simons R., Functional autoregressive forecasting of long-term seabed evolution, Journal of Coastal Conservation, DOI:10.1007/s11852-009-0085-4, in press, 2010.

19. Guillas, S., Day, S. J. , McGuire, W. J. Statistical analysis of ENSO and sea-floor seismicity in the eastern tropical Pacific, Phil. Trans. R. Soc. A, in press, 2010.


Technical Reports:


  • Guillas S., Rhomari N., Zhang, J. [in French], Bilan de l'existant en matiere de prevision statistique des pics de pollution, Laboratoire Central de Surveillance de la Qualite de l'Air, 2000.