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.