Sylvain Sardy
- Université de Genève
- Section de mathématiques
- 2-4 rue du Lièvre
- CH-1211 Genève 4
- Switzerland
- tel. ++ 41 / 22 / 379 11 42
- fax ++ 41 / 22 / 379 11 76
- e-mail:
Sylvain.Sardy@unige.ch
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Info:
- I am looking for a Ph.D. student
- I have many Master research projects, applied and theoretical, in statistics and optimisation
Activities:
Courses:
Research interest, some keywords:
- sparsity and thresholding, thresholding tests
- parametric and nonparametric function estimation
- linear inverse problem and compressed sensing
- wavelets
- optimization
Area of application: Astronomy, Chemometrics, Finance, Tomography
Preprint:
- Quantile universal threshold for model selection, with Giacobino, C., Diaz Rodriguez, J. and Hengartner, N.
- Modelling whole body concentrations in aquatic
macroinvertebrates: biodynamic and trait based approaches, with Hug Peter, D., Diaz, J., Castella, E. and Slaveykova, V.I.
- GLM-lasso explores the cosmos, with Diaz, J., Eckert, D. and Paltani, S.
- Adaptive universal threshold for total variation, with Monajemi, H.
- denoiseR: a Package for Low Rank Matrix Approximation, with Josse, J. and Wager, S.
- ANOVA and group lasso: power, screening and o/+ test, with Giacobino, C.
Publication:
- Adaptive shrinkage of singular values
- Statistics and Computing (2015)
- with Josse, J.
- Stochastic optimization of sailing trajectories in an upwind regatta
- Journal of the Operational Research Society (2014)
- with Dalang, R., Dumas, F., Sardy, S. Morgenthaler, S. and Vila, J.
- Extreme-quantile tracking for financial time series
- Journal of Econometrics, 181(1), p.44-52 (2014)
- with Chavez-Demoulin, V. and Embrechts, P.
[PDF, Published version]
- Smooth blockwise iterative thresholding: a smooth fixed point estimator based on the likelihood's block gradient
- Journal of the American Statistical Association, Theory and Methods, Vol.107, p.800-813 (2012)
[PDF]
- Isotone additive latent variable models
- Statistics and Computing, Vol.22, No.2, p.647-659 (2012)
- with Victoria-Feser, M.-P.
[PDF, Published version]
- l1-Penalized Likelihood Smoothing and
Segmentation of Volatility Processes allowing for Abrupt Changes
- Journal of Computational and Graphical Statistics, Vol.21, No1, p.217-233 (2012)
- with Neto, D. and Tseng, P.
[PDF, Published version]
- Moments structure of l1-stochastic volatility models
- Quality & Quantity (2011)
- with Neto, D.
- Density estimation by total variation penalized likelihood driven by the sparsity l1 information criterion
- Scandinavian Journal of Statistics, Vol.37, No.2, p.321-337 (2010)
- with Tseng, P.
[PDF, Published version, bibtex]
- Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection
- Scandinavian Journal of Statistics, Vol.36, No.4, p.577-601 (2009)
[PDF, Published version, bibtex]
- On the Practice of Rescaling Covariates
- International Statistical Review, Vol.76, No.2, p. 285-297 (2008)
[PDF, Published version, bibtex]
- Discussion of Ramsay, Hooker, Campbell and Cao, Parameter estimation for differential equations: a generalized smoothing approach
- Journal of the Royal Statistical Society, Series B, Vol.69, p.788-789 (2007)
[PDF]
- Resampling Variance Estimation in Surveys with Missing Data
- Journal of Official Statistics, Vol.23, p. 371-386 (2007)
- with Davison, A.C.
[PDF, Published version, bibtex]
- Méthodes de rééchantillonnage pour l'estimation de variance en sondage
- Journal de la société française de Statistique, vol. 147, no3, pp. 3-32 (2006)
- with Davison, A.C.
[PDF]
- Assessment and analysis of mechanical allodynia-like behavior induced by spared nerve injury (SNI) in the mouse
- Pain (2005)
- with Bourquin, A.F., Suveges, M., Pertin, M., Gilliard, N., Davison, A.C., Spahn, D.R., Decosterd, I.
- On the statistical analysis of smoothing
by maximizing dirty Markov random field posterior distributions
- Journal of the American Statistical Association, Theory and Methods, Vol.99, p.191-204 (2004)
- with Tseng, P.
[PDF, Published version, bibtex]
- AMlet, RAMlet and GAMlet:
Automatic Nonlinear Fitting of Additive Model, Robust and Generalized
with Wavelets
- Journal of Computational and Graphical Statistics, Vol.13, p.283-309 (2004)
- with Tseng, P.
[PDF, Published version, bibtex]
- Automatic Smoothing
with Wavelets for a Wide Class of Distributions
- Journal of Computational and Graphical Statistics, Vol.13, p.399-421 (2004)
- with Antoniadis, A., Tseng, P.
[PDF, Published version, bibtex]
- Natural variation in baseline data - when do we call a new sample "resistant"?
- Pest Management Science, Vol.58, p.959-963 (2002)
- with Schaub, L. and Capkun, G.
- A comparison between L1 Markov random field-based and wavelet-based estimators
- in Statistical Data Analysis Based on the L1-Norm and Related Methods, edited by Y.Dodge, Boston: Birkhaeuser, p.395-403 (2002)
- with Bilat, C., Tseng, P., Chavez-Demoulin, V.
- WaveStrapping Time Series: Adaptive Wavelet-Based Bootstrapping
- in Nonlinear and Nonstationary Signal Processing, edited by W. J. Fitzgerald, R. L. Smith, A. T. Walden and P. C. Young, Cambridge, England: Cambridge University Press, p.442-471 (2001)
- with Percival, D.B. and Davison A.C. (2001)
[PDF, Published version, bibtex]
- Robust Wavelet Denoising
- IEEE Transactions on Signal Processing, Vol.49, p.1146-1152 (2001)
- with Tseng, P. and Bruce, A.
[PDF, Published version, bibtex]
- The partial scatterplot matrix
- Journal of Computational and Graphical Statistics, Vol.9, p.750-758 (2000)
- with Davison, A.C.
[Published version, bibtex]
- Block Coordinate Relaxation Methods for Nonparametric Wavelet Denoising
- Journal of Computational and Graphical Statistics, Vol.9, p.361-379 (2000)
- with Bruce, A. and Tseng, P.
- Minimax threshold for denoising complex signals with Waveshrink
- IEEE Transactions on Signal Processing, Vol.48, p.1023-1028 (2000)
- Wavelet Denoising for Unequally Spaced Data
- Statistics and Computing, Vol.9, p.65-75 (1999)
- with Percival, D.B., Bruce, A.G., Gao, H-Y. and Stuetzle, W. (1999)
[Published version]
- Triogram Models
- Journal of the American Statistical Association, Theory and Methods, Vol.93, p.101-119 (1998)
- with Hansen, M. and Kooperberg, C.
[Published version]
Proceedings :
- Nonlinear estimators for the detection of small and rare features,
Proceedings of PHYSTAT 2011, CERN Geneva, Sardy, S. (2011)
- Resampling-based variance
estimation in DACSEIS with application to the Swiss Household Budget
Survey, Proceedings of the European Conference on Quality and Methodology
in Official Statistics (Q2004), Mainz, Davison, A.C., Sardy, S. (2004)
- Resampling-based variance estimation in DACSEIS, Proceedings of the ISI: Data quality in complex
surveys, Berlin, Davison, A.C., Sardy, S. (2003)
- Natural variation in baseline data - when do we call a new sample "resistant"?, Proceedings of the 77th Annual Western Orchard Pest and Disease Management Conference, Portland, Schaub, L., Sardy, S., Capkun, G. (2003)
- Block coordinate relaxation methods for nonparametric signal denoising Wavelet Applications, Proceedings of the SPIE, Orlando, Bruce, A., Sardy, S., Tseng, P. (1998)
Ph.D. students at University of Geneva :
- Caroline Giacobino (Swiss National Science Foundation)
- Jairo Diaz Rodriguez (Swiss National Science Foundation)
- Pascaline Descloux
Master students at University of Geneva :
- Jairo Diaz, "L1 regularization for Generalized Linear Models
using Quantile Universal Threshold," now Ph.D. student with me
- Jean-Luc Baeriswyl, "Analyse statistique de spectres de masse d'origine biologique"
- Florian Stern, Master student at University of Liverpool with Erasmus
- Marc Brodard, ingénieur mathématicien dans une entreprise suisse
- Stéphanie Wodtli-Rohr, Master student at EPFL
- Guillaume Courteheuse, teacher Geneva highschool
- Caroline Giacobino, first at Fundo, now Ph.D. student with me
- Paul Expert, Ph.D. student at Institute for Mathematical Sciences, Imperial College
- Alpha Amadou Barry
Personnal stuff :