Publications
A nearly complete list on
Publons.
Preprints, reports and unpublished works
- Cardot, H., Koo, J-Y. (2000). Adaptive
Log-Splines
for Statistical Linear Inverse Problems with Application to 1D
Electrophoresis. Rapport technique Biométrie et Intelligence
Artificielle, INRA Toulouse.
- Bergez, J.E., Cardot, H. and F. Garcia (2005). Quantile
regression trees for yield prediction using a simulation model.
Rapport technique Biométrie et Intelligence Artificielle, INRA
Toulouse.
- Brossard, T., Cardot, H., Cavailhès (resp. scientifique) J., Hilal,
M., Joly, D. et Wavresky, P. (2006). Le
prix du climat et l'attrait du littoral en France : une évaluation à
partir des valeurs immobilières et du salaire. Rapport remis
au Ministère de l'équipement. 251 p.
- Cavailhès, J., Joly, D., Brossard, T., Cardot, H., Hilal, M.,
Wavresky, P. (2008). Le climat en
France et son Prix. Rapport remis au Ministère de l'Emploi,
de la Cohésion Sociale et du Logement. 154 p.
- Cardot, H. and Musolesi, A. (2021). Zero-inflated
regression for unobserved effects panel data models and
difference-in-differences estimation.
SEEDS Working Paper 11/2021. Submitted for publication.
Articles - Book chapters - Book reviews
2018 -
- Frascolla, C., Lecuelle, G., Schlich, P. and Cardot, H. (2022). Two
sample tests for Semi-Markov Processes with parametric
sojourn time distributions: an application in sensory analysis.
Accepted for publication in Computational
Statistics.
- Cardot, H. and Musolesi, A. (2021). Assessing spillover effects
of spatial policies with semiparametric zero-inflated models and
random forests. In: Daouia A., Ruiz-Gazen A. (eds). Advances
in Contemporary Statistics and Econometrics, Springer, pages
319-338.
- Mahieu, B., Schlich, P., Visalli, M. and Cardot, H. (2021). A
multiple-response chi-square framework for the analysis of
Free-Comment and Check-All-That-Apply data. Food
Quality and Preferences, Vol 93, October 2021.
- Cardot, H. and Musolesi, A. (2020). Modeling temporal treatment
effects with zero inflated semi-parametric regression models: the
case of local development policies in France. Econometric
Reviews, 39, 135-157. A preliminary version is on
arXiv:1707.05745
- Cardot, H., De Moliner, A. and Goga, C. (2020). Conditional bias
robust estimation of the total of curve data by sampling in a finite
population: an illustration on electricity load curves. Journal
of Survey Statistics and Methodology. 8, 453-482.
A preliminary is on
arXiv:1806.09949
- Cardot, H., Lecuelle, G., Schlich, P. and Visalli, M. (2019).
Estimating finite mixtures of semi-Markov chains: an application to
the segmentation of temporal sensory data. Journal
of the Royal Statistical Society, Series C, 68,
1281-1303. A preliminary version is on arXiv:1806.04420
- Cardot, H., De Moliner, A. and Goga, C. (2019). Estimation of
total electricity consumption curves by sampling in a finite
population when some trajectories are partially unobserved. Canadian
Journal of Statistics, 47,
65-89.
- Lecuelle, G., Visalli, M., Cardot, H. and Schlich, P. (2018). Modeling
temporal dominance of sensations with semi-Markov chains.
Food
Quality and Preferences, 67, 59-66.
- Cardot, H. and Degras, D. (2018). Online
Principal Component Analysis in High Dimension: Which Algorithm to
Choose? International
Statistical Review, 86, 29-50. R
package :
onlinePCA
2014 - 2017
- Cardot, H., Godichon-Baggioni, A. (2017). Fast
Estimation of the Median Covariation Matrix with Application to
Online Robust Principal Components Analysis. TEST,
26, 461-480. A preliminary version is available here.
- Cardot, H., Cénac, P. and Godichon-Baggioni, A. (2017). Online
estimation of the geometric median in Hilbert spaces : non
asymptotic confidence balls. The
Annals of Statistics, 45, 591-614.
- Cardot, H., Goga, C. and Shehzad, A. (2017). Calibration
and Partial Calibration on Principal Components when the Number of
Auxiliary Variables is Large. Statistica
Sinica, 27, 243-260.
- De Moliner, A., Goga, C. and Cardot, H. (2016). Estimation of
total electricity consumption curves of small areas by sampling in a
finite population. Compstat
2016, Eds Colubi, A., Blanco, A. and Gatu, C., 49-57.
- Cardot, H., De Moliner, A. and Goga, C. (2015).
Estimating
with kernel smoothers the mean of functional data in a finite
population setting. A note on variance estimation in presence of
partially observed trajectories. Statistics
and Probability Letters, 99,
156-166.
- Truntzer, C., Mostacci, E., Jeannin, A., Petit, J-M., Ducoroy, P.
and H. Cardot (2014). Comparison of
classification methods that combine clinical data and high
dimensional mass spectrometry data.
BMC
- Bioinformatics, 15:385.
- Benadjaoud, M-A., Blanchard, P., Schwartz, B.,
Champoudry, J., Bouaita, R., Lefkopoulos, D., Deutsch, E.,
Diallo, I., Cardot, H. and De Vathaire, F. (2014). Functional
Data Analysis in NTCP Modeling: A New Method to Explore the
Radiation Dose-Volume Effects. International
Journal of Radiation Oncology • Biology • Physics, 90,
654-663.
- Lardin, P., Cardot, H. and Goga, C. (2014).
Analyzing large datasets of
functional data : a survey sampling point of view.
Journal
de la SFdS. 155,
70-94.
- Cardot, H, Goga, C. and Lardin, P. (2014).
Variance
estimation and asymptotic confidence bands for the mean estimator
of sampled functional data with high entropy unequal probability
sampling designs.
Scandinavian
J. of Statistics, 41,
516-534.
- Cardot, H., Goga, C. and Lardin, P. (2013). Uniform
convergence and asymptotic confidence bands for model-assisted
estimators of the mean of sampled functional data. Electronic
J. of Statistics, 7,
562-596.
- Cardot, H., Cénac, P. and Zitt, P-A. (2013). Efficient
and fast estimation of the geometric median in Hilbert spaces with
an averaged stochastic gradient algorithm. Bernoulli,
19, 18-43.
- Sauder, C., Cardot, H., Disenhaus, C. and Le Cozler, Y. (2013). Non-parametric
approaches
to the impact of Holstein heifer growth from birth to insemination
on their dairy performance at lactation one. The
Journal of Agricultural Science, 151,
578-589.
- Joly, D., Cardot, H. and Schaumberger, A. (2013). Improving
spatial
temperature estimates by resort to time autoregressive processes.
International
Journal
of Climatology, 33,
2289-2297.
- Cardot, H., Degras, D. and Josserand, E. (2013). Confidence
bands for Horvitz-Thompson estimators using sampled noisy functional
data. Bernoulli,
19, 2067-2097.
- Cardot, H., Dessertaine, A., Goga, C., Josserand, E. et Lardin, P.
(2013). Comparison
of
different sample designs and construction of confidence bands to
estimate the mean of functional data: An illustration on
electricity consumption.
Survey
Methodology/Techniques
d'enquêtes, 39,
283-301.
- Cardot, H., Cénac, P. and Zitt, P-A. (2012). Recursive
estimation of the conditional geometric median in Hilbert spaces.
Electronic Journal
of Statistics, 6,
2535-2562.
- Cardot, H., Cénac, P. and Monnez, J-M. (2012). A
fast and recursive algorithm for clustering large datasets with
k-medians. Computational
Statistics and Data Analysis, 56,
1434-1449.
- Cavailhès, J., Joly, D., Cardot, H., Hilal, M., Brossard,
T. and Wavresky, P. (2012). The
price of climate: French consumer preferences reveal spatial and
individual inequalities. In : Cities
and climate change: responding to an urgent agenda,
Volume 2. World Bank Urban Development Series, p.
649-669.
- Cardot, H., Josserand, E. (2011).
Horvitz-Thompson
estimators for functional data: asymptotic confidence bands and
optimal allocation for stratified sampling.
Biometrika,
98, 107-118.
- Joly, D., Brossard, T., Cardot, H., Cavailhes, J., Hilal, M. and
Wavresky, P. (2011).
Temperature interpolation based on
local information : the example of France. International
Journal of Climatology, 31,
2141-2153.
- Guyon, D., Guillot, M., Vitasse, Y., Cardot,
H., Hagolle, O., Delzon, S. and J.-P. Wigneron
(2011). Elevational
variations
in leaf phenology of deciduous broadleaved forests from
SPOT/VEGETATION time-series. Remote
Sensing of Environment, 115,
615-627.
- Book review for Biometrics,
2010, Vol. 66, 1312-1313. Functional
Data Analysis with R and Matlab by Ramsay, J. O., Hooker, G.,
and Graves, S (2009). Springer, New York.
- Cardot, H., Cénac, P., Chaouch, M. (2010). Stochastic
Approximation for Multivariate and Functional Median. Compstat
2010, Eds Lechevallier, Y. and Saporta, G. Physica-Verlag,
Springer, 421-428.
- Cardot, H., Dessertaine, A., Josserand, E. (2010). Semiparametric
models
with functional responses in survey sampling setting : model
assisted estimation of electricity consumption curves.
Compstat 2010, Eds
Lechevallier, Y. and Saporta, G. Physica-Verlag, Springer,
411-420.
- Mostacci, E., Truntzer, C., Cardot, H., Ducoroy, P.
(2010). Multivariate
denoising methods combining wavelets and PCA for mass spectrometry
data. Proteomics, 10,
2564-2572.
- Cardot, H. (2010). Comments
on: Dynamic Relations for Sparsely Sampled Gaussian Processes by
H.G. Mueller and W. Yang. TEST,
19, 30-33.
- Cardot, H., Chaouch, M., Goga, C. and C. Labruere (2010). Properties
of Design-Based Functional Principal Components Analysis.
Journal of Statistical Planning and
Inference, 140,
75-91.
- Cardot, H., Johannes, J. (2010). Thresholding
Projection
Estimators in Functional Linear Models,
Journal of Multivariate Analysis, 101,
395-408.
- Cardot, H., Sarda, P. (2010). Functional
Linear
Regression. In Handbook
of Functional Data Analysis, Ferraty, F. and Romain, Y.
(Eds.), Oxford University Press, 21-46.
- Joly, D., Brossard, T., Cardot, H., Cavailhès, J., Hilal, M.,
Wavresky, P. (2009). Les
types
de climats en France, une construction spatiale.
Cybergeo, European Journal of Geography.
- Joly, D., Brossard, T., Cardot, H., Cavailhès, J., Hilal, M.,
Wavresky, P. (2009). Interpolation
par régressions locales : application aux précipitations en France,
L'Espace géographique, 38,
157-170.
- Besse, P., Cardot, H. (2009). Statistical
modeling of functional data. In Data
Analysis, Ed. G. Govaert. Digital
Signal
and Image Processing series, John Wiley and Sons, 149-180.
- Cardot, H., Chaouch, M., Goga, C. and C. Labruere (2008). Functional
Principal Components Analysis with Survey Data. In Functional
and Operatorial Statistics, Dabo-Niang, S. and Ferraty, F.
(Eds.), Physica-Verlag, Heidelberg, 95-102.
- Cardot, H., Maisongrande, P. and Faivre, R. (2008). Varying-Time
Random
Effects Models for Longitudinal Data: Unmixing and Temporal
Interpolation of Remote Sensing Data,
Journal of Applied Statistics, Vol. 35, 827-846.
- Joly, D., Brossard, T., Cardot, H., Cavailhès, J., Hilal, M.,
Wavresky, P. (2008). Interpolation
par
recherche d'information locale. Climatologie,
Vol. 5, 27-48.
- Cardot, H. and Sarda, P. (2008). Varying-Coefficient
Functional
Linear Regression Models. Communications in
Statistics: Theory and Methods, Vol. 37, 3186-3203.
- Cardot, H., Mas, A. and P. Sarda (2007). CLT
in
functional linear regression models,
Probability Theory and Related Fields, Vol. 138, 325-361.
- Cardot, H., Crambes, C., Kneip,
A. and Sarda, P. (2007). Smoothing
spline estimators in functional linear regression with
errors-in-variables, Computational Statistics
and Data Analysis, Vol. 51, 4832-4848.
- Cardot, H., Prchal, L. and Sarda, P. (2007). No
effect and lack-of-fit permutation tests for functional regression. Computational
Statistics, Vol. 22, 371-390.
- Cardot, H. (2007). Conditional
functional
principal
components analysis. Scandinavian
Journal of Statistics, Vol. 34, 317-335.
- Cardot, H., Crambes, C. and P. Sarda (2007). Ozone
Pollution Forecasting using Conditional Mean and Conditional
Quantiles with Functional Covariates. In Statistical
Methods for Biostatistics and Related Fields, Hardle, W., Mori,
Y. and P. Vieu (Eds.), Springer Verlag, New York, 221-244.
- Cardot, H., Sarda, P. (2006). Linear
Regression
Models for functional data. In The Art of
Semiparametrics, ed. W. Hardle, Physica-Verlag/Springer,
Heidelberg, 49-66.
- Cardot, H., Crambes, C and P. Sarda (2005). Quantile
regression
when the covariates are functions. Journal of
Nonparametric Statistics, Vol. 17, 841-856.
- Cardot, H., Sarda, P. (2005). Estimation
in Generalized Linear Models for Functional Data via Penalized
Likelihood. Journal of Multivariate Analysis,
Vol. 92, 24-41.
- Besse, P.C., Cardot, H., Faivre, R. and M. Goulard (2005).
Statistical
modelling of functional data. Applied Stochastic
Models in Business and Industry, Vol. 21, 165-173.
- Cardot, H., Faivre, R. and P. Maisongrande (2004). Random
Effects Varying Time Regression Models: Application to Remote
Sensing. Compstat 2004 proceedings. ed. J.
Antoch, Physica-Verlag, 777-784.
- Cardot, H., Crambes, C. and P. Sarda (2004). Conditional
Quantiles
with Functional Covariates : an application to Ozone pollution
forecasting. Compstat 2004 proceedings. ed. J.
Antoch, Physica-Verlag, 769-776.
- Aneiros-Perez, G., Cardot, H., Estevez-Perez G. and P.
Vieu (2004). Maximum
ozone concentration forecasting by functional nonparametric
approaches. Environmetrics, Vol. 15, 675-685.
- Cardot, H., Goia, A. and P. Sarda (2004). Testing
for no effect in functional linear regression models, some
computational approaches. Communications in
Statistics - Simulation and Computation, Vol. 33, 179-199.
- Cardot, H., Koo, J-Y., Park, H.J. and A. Trubuil (2004).
Boosting
Diracs for Electrophoresis. Journal of
Computational and Graphical Statistics, Vol. 13, 659-673.
- Cardot, H., Crambes, C., Sarda, P. (2004). Estimation
spline
de quantiles conditionnels pour variables explicatives
fonctionnelles. C. R.
Acad. Sci. Paris, Série I, 339, 141-144.
- Besse, P.C. et H. Cardot (2003). Modélisation
statistique de données fonctionnelles. in Analyse
des Données, édité par G. Govaert, Hermes, pages 169-200.
- Cardot, H., Faivre, R. and M. Goulard (2003). Functional
approaches for predicting land use with the temporal evolution of
coarse resolution remote sensing data. Journal
of Applied Statistics, Vol. 30, 1185-1199.
- Cardot, H., Ferraty, F. and P. Sarda (2003). Spline
Estimators for the Functional Linear Model.
Statistica Sinica, Vol. 13, 571-591.
- Cardot, H., Ferraty, F., Mas, A., and P. Sarda (2003). Testing
Hypotheses in the Functional Linear Model.
Scandinavian Journal of Statistics, Vol. 30, 241-255.
- Cardot, H. (2002). Local roughness
penalties for regression splines. Computational
Statistics, Vol 17, 89-102.
- Cardot, H. (2002). Spatially
Adaptive Splines for Statistical Linear Inverse Problems.
Journal of Multivariate Analysis, Vol. 81, 100-119.
- Besse, P.C., Cardot, H., and D.
Stephenson (2000). Autoregressive
Forecasting of Some Functional Climatic Variations. Scandinavian
Journal
of Statistics, Vol. 27, 673-687.
- Cardot, H. (2000). Nonparametric
Estimation of Smoothed Principal Components Analysis of Sampled
Noisy Functions. Journal of Nonparametric
Statistics, Vol. 12, 503-538.
- Cardot, H., F. Ferraty, F. et P. Sarda. (2000). Etude
asymptotique
d'un estimateur spline hybride pour le modèle linéaire fonctionnel.
C. R. Acad. Sci. Paris, t.
330, Série I, 501-504.
- Cardot, H., Ferraty, F. and P. Sarda (1999). Functional
Linear
Model. Statistics and Probability Letters. Vol.
45, 1, 11-22.
- Cardot, H. (1998). Convergence du
lissage spline de la prévision des processus autorégressifs
fonctionnels. C. R. Acad.
Sci. Paris, t. 326, Série I, 755-758.
- Cardot, H., Diack, C. (1998). Convergence
en
moyenne
quadratique de l'estimateur de la régression par splines hybrides.
C. R. Acad. Sci. Paris , t.
326, Série I, 615-618.
- Besse, P.C., Cardot, H. and F. Ferraty (1997). Simultaneous
nonparametric
regressions of unbalanced longitudinal data. Computational
Statistics and Data Analysis. Vol. 24, 255-270.
- Besse, P.C., H. Cardot (1996). Approximation spline
de la prévision d'un processus fonctionnel autorégressif d'ordre 1.
Canadian Journal of Statistics/ Revue Canadienne de Statistique. Vol.
24, 467-487.