Accepted / Published works
- D. Pigoli, F. Ferraty, J. Aston, A. Mazumder, C. Richards, M. Hall} (2023). Estimation of temperature-dependent growth profile for the assessment of time of hatching in Forensic Entomology. JRSSC, 72, 231-253.
- J.-M. Chiou, F. Ferraty, J. Goldsmith, D. Paul, J. Q. Shi (2023). 2nd Special Issue on High-dimensional and functional data analysis (Eds). Comput. Stat. Data Anal., 184.
- F. Ferraty, S. Nagy (2022). Scalar-on-function local linear regression and beyond. Biometrika, 109, 439-455 (available online).
- F. Ferraty, A. Kneip, P. Kokoszka, A. Petersen (2022). Second Special Issue on High-dimensional and functional data analysis (Eds). Econometrics & Statistics , 21.
- S. Nagy, F. Ferraty (2019). Data Depth for Measurable Noisy Random Functions. J. Multivariate Anal. , 170, 95-114.
- F. Ferraty, A. Zullo, M. Fauvel (2019). Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics, 9, 95-107.
- F. Ferraty, P. Kokoszka, J.-L. Wang, Y. Wu (2019). Special Issue: High-dimensional and functional data analysis (Eds). Comput. Stat. Data Anal., 131, 1-234.
- A. Zullo, M. Fauvel, F. Ferraty (2018). Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics, 45, 2219-2237.
- F. Ferraty, A. Quintela-del-Rio (2016). Conditional VaR and expected shortfall : a new functional approach. Econometric Reviews, 35, 263-292.
- F. Ferraty, P. Hall (2015). An Algorithm for Nonlinear, Nonparametric Model Choice
and Prediction. J. Comput. Graph. Stat.,
24, 695-714.
- M. Fauvel, C. Deschesne, A. Zullo, F. Ferraty (2015). Fast forward feature selection of hyperspectral images for classification with gaussian mixture model. IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens., 8, 2824-2831.
- G. Aneiros, F. Ferraty, P. Vieu. Variable selection in partial linear regression
with functional covariate. Statistics, 49, 1322-1347.
- F. Ferraty (2014). Regression on functional data : methodological approach with
application to near-infrared spectrometry. J. Soc. Fr. Stat. 155, 100-120.
- F. Ferraty (2014). What about sparsity when data are curves? Invited discussion around the paper An Overview of Object Oriented Data Analysis. Biometrical Journal56, 761-763.
- F. Ferraty, M. Sued, P. Vieu (2013). Mean estimation with data
missing at random for functional covariables. Statistics, 47, 688-706.
- F. Ferraty, A. Goia, E. Salinelli, P. Vieu (2013). Functional
projection pursuit regression. TEST,
22, 293-320.
- F. Ferraty, N. Kudraszow, P. Vieu (2012). Nonparametric
estimation of a surrogate density function in infinite dimensional
spaces. J. Nonparametric Statistics,
24, 447-464.
- F. Ferraty, I. Van Keilegom, P. Vieu (2012). Regression when both
response and predictor are functions. J.
Multivariate Analysis, 109,
10-28.
- F. Ferraty, W. Gonzalez-Manteiga, A. Martinez-Calvo, P. Vieu
(2012). Presmoothing in functional linear regression. Statistica Sinica, 22, 69-94.
- F. Ferraty, A. Quintela-del-Rio, P. Vieu (2012). Specification
test for conditional distribution with Functional Data. Econometry Theory, 28, 363-386.
- L. Delsol, F. Ferraty, P. Vieu (2011). Structural test in
regression on functional variables. J.
Multivariate Analysis, 102,
422-447.
- F. Ferraty, A. Laksaci, A. Tadj, P. Vieu (2011). Kernel
regression with functional response. Electronic
J. Statistics, 5,
159-171.
- F. Ferraty, A. Quintela-del-Rio, P. Vieu (2011). Analysis of time
of occurence of earthquakes: a functional data approach. Mathematical Geosciences, 43, 695-719.
- A. Ait Saidi, M. Bouraine, F. Ferraty, P. Vieu (2010). Choix
optimal de l'indice multi-fonctionnel: méthode de validation
croisée. Romanian J. Pure
Applied Mathematics, 55,
355-367.
- F. Ferraty, P. Hall, P. Vieu (2010). Most-predicitve design
points for functional data predictors. Biometrika, 97, 807-824.
- F. Ferraty, I. Van Keilegom, P. Vieu (2010). On the validity of
the bootstrap in nonparametric functional regression. Scandinavian J. Statistics, 37, 286-306.
- F. Ferraty, A. Laksaci, A. Tadj, P. Vieu (2010). Rate of uniform
consistency for nonparametric estimates with functional
variables. J. Statistical Planning
Inference, 140, 335-352.
- J. Barrientos-Marin, F. Ferraty, P. Vieu (2010). Locally Modelled
Regression and Functional Data. J.
Nonparametric Statistics, 22,
617-632.
- F. Burba, F. Ferraty, P. Vieu (2009). $k$-Nearest Neighbor method
in functional nonparametric regression. J. Nonparametric Statistics, 21, 453-469.
- F. Ferraty, P. Vieu (2009). Additive prediction and boosting for
functional data. Computational
Statistics & Data Analysis, 53,
1400-1413.
- A. Ait Saidi, F. Ferraty, R. Kassa, P. Vieu (2008).
Cross-validated estimations in the single functional index model. Statistics, 42, 475-494.
- A. Ait Saidi, F. Ferraty, R. Kassa, P. Vieu (2008). Choix optimal
du paramètre fonctionnel dans le modèle à indice fonctionnel simple. C. R. Acad. Sci. Paris, Ser. I 346, 217-220.
- F. Burba, F. Ferraty, P. Vieu (2008). Convergence de l'estimateur
à noyau des $k$ plus proches voisins en régression fonctionnelle
non-paramètrique. C. R. Acad. Sci.
Paris, Ser. I 346,
339-342.
- F. Ferraty, A; Rabhi, P. Vieu (2008). Estimation non-paramètrique
de la fonction de hasard avec variable explicative fonctionnelle. Romanian J. Pure & Applied Mathematics,
53, 1-18.
- K. Benhenni, F. Ferraty, M. Rachdi, P. Vieu (2007). Local
smoothing regression with functional data. Comp. Statistics, 22, 353-369.
- F. Ferraty, P. Vieu, S. Viguier-Pla (2007). Factor-based
comparison of groups of curves. Computational
Statistics & Data Analysis, 51,
4903-4910.
- S. Dabo-Niang, F. Ferraty, P. Vieu (2007). On the using of modal
curves for radar waveforms classification. Computational Statistics & Data
Analysis, 51, 4878-4890.
- F. Ferraty, A. Mas, P. Vieu (2007). Nonparametric regression on
functional data: inference and practical aspects. Australian New Zealand J. Statistics,
49, 267-286.
- N. Villaneix, Paegelow M., Camacho-Olmedo M.T., Cornez L.,
Ferraty F., Ferr� L., Sarda P. (2007). Various approaches for
predicting land cover in mountain areas. Communications in Statistics - Simulation
and Computation, 36,
73-86.
- S. Dabo-Niang, F. Ferraty, P. Vieu (2006). Mode estimation for
functional random variable and its application for curves
classification. Far East J.
Theoretical Statistics, 18,
93-119.
- F. Ferraty, A. Laksaci, P. Vieu (2006). Estimating some
characteristics of the conditional distribution in nonparametric
functional models. Statistical
Inference Stochastic Process, 9,
47-76.
- A. Ait Saidi, F. Ferraty, R. Kassa (2005). Single functional
index model for time series. Romanian
J. Pure & Applied Mathematics, 50, 321-330.
- F. Ferraty, A. Laksaci, P. Vieu (2005). Functional time series
prediction via conditional mode estimation. C. R. Acad. Sci. Paris, Ser. I 340, 389-392.
- F. Ferraty, A. Rabhi, P. Vieu (2005). Conditional quantiles for
functional dependent data with application to the climatic El Ni�o
phenomenon. Sankhya, 67, 378-398.
- S. Dabo-Niang, F. Ferraty, P. Vieu (2004). Estimation du mode
dans un espace vectoriel semi-norm�. C.
R. Acad. Sci. Paris, Ser. I 339,
659-662.
- F. Ferraty and P. Vieu (2004). Nonparametric models for
functional data, with applications in regression, time series
prediction and curves discrimination. J. Nonparametric Statistics, 16, 111-125.
- M. Paegelow, N. Villa, L. Cornez, F. Ferraty, L. Ferré, P. Sarda
and N. Villaneix (2004). Modélisations prospectives de l'occupation du
sol. Le cas d'une montagne méditerranéenne. Cybergeo, 295 (19p).
- H. Cardot, F. Ferraty et P. Sarda (2003). Spline Estimators for
the Functional Linear Model. Statistica
Sinica, 13, 571-591.
- F. Ferraty, A. Peuch et P. Vieu (2003). Modèle à indice
fonctionnel simple. C. R. Acad. Sci.
Paris, Ser. I 336,
1025-1028.
- F. Ferraty and P. Vieu (2003). Curves discrimination: a
nonparametric functional approach. Computational
Statistics & Data Analysis, 44,
161-173.
- H. Cardot, F. Ferraty, A. Mas et P. Sarda (2003). Test of nullity
in the Functional Linear Model. Scandinavian
J. Statistics, 30,
241-255.
- F. Ferraty, A. Goia, P. Vieu (2002). Functional Nonparametric
Model for Time Series~: a Fractal Approach for Dimension Reduction. TEST, 11, 317-344.
- F. Ferraty, A. Goia, P. Vieu (2002). R�gression non-param�trique
pour des variables al�atoires fonctionnelles m�lageantes. C. R. Acad. Sci. Paris, Ser. I 334, 217-220.
- F. Ferraty, P. Vieu (2002). The Functional Nonparametric Model
and Application to Spectrometric Data. Computational Statistics, 17, 545-564.
- H. Cardot, F. Ferraty, P. Sarda (2000). Etude asymptotique d'un
estimateur spline hybride pour le mod�le lin�aire fonctionnel. C. R. Acad. Sci. Paris, Ser. I 330, 501-504.
- F. Ferraty, P. Vieu (2000). Dimension fractale et estimation de
la r�gression dans des espaces vectoriels semi-norm�s. C. R. Acad. Sci. Paris, Ser. I 330, 139-142.
- H. Cardot, F. Ferraty, P. Sarda (1999). Linear Functional
Model. Statistics &
Probability Letters, 45,
11-22.
- P. C. Besse, H. Cardot, F. Ferraty (1997). Simultaneous
Non-parametric Regressions of Unbalanced Longitudinal Data. Computational Statistics & Data
Analysis, 24, 255-270.
- F. Ferraty (1997). Estimations de Transformations Optimales en
ACP Curvilin�aire, Revue de
Statistique Appliqu�e, XLV,
5-39.
- P. C. Besse, F. Ferraty (1995). Curvilinear Fixed Effect
Model, Computational Statistics,
10, 339-351.
Books & Editorial
achievements
- J.-M. Chiou, F. Ferraty, J. Goldsmith, D. Paul, J. Q. Shi (2021-). 2nd Special Issue on High-dimensional and functional data analysis (Eds). Comput. Stat. Data Anal. (in progress).
- F. Ferraty, A. Kneip, P. Kokoszka, A. Petersen (2021-). 2nd Special Issue on functional data analysis (Eds). Econometrics & Statistics (in progress).
- F. Ferraty, P. Kokoszka, J.-L. Wang, Y. Wu (2019). 1st Special Issue on High-Dimensional and Functional Data Analysis (Eds). Comput. Stat. Data Anal., 131, 1-234.
- F. Ferraty (2011). Proceedings
IWFOS'2011: Recent Advances on Functional Data analysis and Related
Fields (Ed.). Contributions to Statistics, Physica-Verlag,
Heidelberg.
- F. Ferraty, Y. Romain (2011). Oxford
Handbook of Functional Data Analysis (Eds.). Oxford University
Press.
- F. Ferraty (2010). Special
Issue: Statistical Methods and Problems in Infinite-dimensional Spaces
(Ed.). J. Multivariate Analysis, 101,
305-490.
- S. Dabo-Niang, F, Ferraty (2008). Proceedings IWFOS'2008: Functional and
Operatorial Statistics (Eds.). Contributions to Statistics,
Physica-Verlag, Heidelberg.
- F. Ferraty et P. Vieu (2006). Nonparametric
Functional Data Analysis: Theory and Practice. Springer Series
in Statistics, Springer-Verlag, New York.
Book chapters
- F. Ferraty, P. Vieu (2013). Nonparametric Statistics and
High/Infinite Dimensional Data. In Contemporary
Developement in Statistical Theory, Ed. S.N. Lahiri, A. Schick,
A. Sengupta, and T.N. Sriram, Springer, New York.
- L. Delsol, F. Ferraty, A. Martinez (2011). Functional data
analysis: an interdisciplinary statistical topic. In Statistical learning and Data Science,
Eds. B. Goldfarb, C. Pardoux, M. summa, M. Touati, Chapman and
Hall, 189-195.
- F. Ferraty, P. Vieu (2011). Unifying presentation of functional
regression modelling. In Oxford
Handbook of Statistics and Functional Data, Ed. F. Ferraty, Y.,
Oxford University Press, 3-20.
- F. Ferraty, P. Vieu (2011). Kernel regression estimation for
functional data. In Oxford Handbook
of Statistics and Functional Data, Ed. F. Ferraty, Y. Romain,
Oxford University Press, 72-129.
- F. Ferraty, P., Sarda, P. Vieu (2010). Statistical analysis of
Functional Data. In International
Encyclopedia of Education 3rd Edition, Ed. E. Baker, P.
Peterson, and B. McGaw, Elsevier, 417-425.
- Camacho Olmedo M.T., Ferraty F., Ferr� L., Sarda P., Paegelow,
M., Villa N. (2008). Prospective modelling of environmental dynamics. A
methodological comparison applied to mountain land cover changes. In Modelling Environmental Dynamics,
Ed. Paegelow & Camacho Olmedo, Springer, 141-167.
- F. Ferraty, A. Goia and P. Vieu. Nonparametric functional
methods: new tools for chemometric analysis (2006). In Statistical methods for biostatistics and
related fields, Ed. W. Haerdle, Y. Mori and P. Vieu, 245-264.
- F. Ferraty, M. Paegelow and P. Sarda (2006). Polychotomous
regression: application to landcover prediction. In Statistical methods for biostatistics and
related fields, Ed. W. Haerdle, Y. Mori, P. Vieu, 347-356.
- F. Ferraty and P. Vieu (2006). Functional nonparametric
statistics in action. In The Art of
Semiparametrics, Contributions in Statistics, Physica-Verlag,
Springer, Heidelberg, 112-129.
- F. Ferraty and P. Vieu (2003). Functional nonparametric
statistics: a double infinite dimensional framework. In Recent Advances and Trends in
Nonparametric Statistics, Ed. M. Akritas and D. Politis,
Elsevier, 61-76.