Philippe Vieu

发表

Nonparametric functional methods: new tools for chemometric analysis

Frédéric Ferraty, Aldo Goia, Philippe Vieu, 2007 .

Which Methods and Strategies to Cope with Noise Complexity for an Effective Interpretation of Acoustic Emission Signals in Noisy Nuclear Environment

Paul Cristini, Philippe Vieu, Nathalie Favretto-Cristini, 2017 .

Statistical methods for biostatistics and related fields

Yuichi Mori, Wolfgang Härdle, Philippe Vieu, 2007 .

The Functional Nonparametric Model and Application to Spectrometric Data

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2002, Comput. Stat..

Factor-based comparison of groups of curves

Frédéric Ferraty, Philippe Vieu, Sylvie Viguier-Pla, 2007, Comput. Stat. Data Anal..

Curves discrimination: a nonparametric functional approach

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2003, Comput. Stat. Data Anal..

A partitioned Single Functional Index Model

Aldo Goia, Philippe Vieu, 2015, Comput. Stat..

Additive prediction and boosting for functional data

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2009, Comput. Stat. Data Anal..

Data-driven kNN estimation in nonparametric functional data analysis

Mustapha Rachdi, Philippe Vieu, Lydia-Zaitri Kara, 2017, J. Multivar. Anal..

Peak-Load Forecasting Using a Functional Semi-Parametric Approach

Frédéric Ferraty, Aldo Goia, Philippe Vieu, 2014 .

Regression when both response and predictor are functions

Ingrid Van Keilegom, Frédéric Ferraty, Philippe Vieu, 2012, J. Multivar. Anal..

Functional Nonparametric Statistics in Action

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2006 .

Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2006 .

Choosing the most relevant level sets for depicting a sample of densities

Pedro Delicado, Philippe Vieu, P. Vieu, 2017, Comput. Stat..

On the using of modal curves for radar waveforms classification

Sophie Dabo-Niang, Frédéric Ferraty, Philippe Vieu, 2007, Comput. Stat. Data Anal..

Automatic estimation procedure in partial linear model with functional data

Philippe Vieu, Germán Aneiros-Pérez, P. Vieu, 2011 .

Nonparametric Statistics and High/Infinite Dimensional Data

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2014 .

Evaluating the complexity of some families of functional data

Enea G. Bongiorno, Aldo Goia, Philippe Vieu, 2018 .

Non-parametric functional methods for hyperspectral image classification

Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Partial linear modelling with multi-functional covariates

Philippe Vieu, Germán Aneiros, 2015, Comput. Stat..

An introduction to the 4th edition of the International Workshop on Functional and Operatorial Statistics

Enea G. Bongiorno, Ricardo Cao, Philippe Vieu, 2017 .

Fast Algorithm for Impact Point Selection in Semiparametric Functional Models

Philippe Vieu, Silvia Novo, Germán Aneiros, 2019 .

Structural test in regression on functional variables

Philippe Vieu, Laurent Delsol, Frédéric Ferraty, 2011, J. Multivar. Anal..

Statistics for Functional Data

Wenceslao González-Manteiga, Philippe Vieu, P. Vieu, 2007, Comput. Stat. Data Anal..

Local smoothing regression with functional data

Mustapha Rachdi, Frédéric Ferraty, Philippe Vieu, 2007, Comput. Stat..

Nonparametric regression and prediction of a Markov process

Philippe Vieu, Pascal Sarda, 1986 .

Editorial for the Special Issue on Functional Data Analysis and Related Topics

Ricardo Fraiman, Ricardo Cao, Philippe Vieu, 2019, J. Multivar. Anal..

Richesse et complexité des données fonctionnelles

Philippe Vieu, Frédéric Ferraty, Frédéric Ferraty, 2011, Monde des Util. Anal. Données.

A general sparse modeling approach for regression problems involving functional data

Philippe Vieu, Germán Aneiros, P. Vieu, 2017 .

Modeling functional data: a test procedure

Enea G. Bongiorno, Aldo Goia, Philippe Vieu, 2019, Comput. Stat..

Recent advances in functional data analysis and high-dimensional statistics

Ricardo Fraiman, Christian Genest, Ricardo Cao, 2019, J. Multivar. Anal..

Optimal level sets for bivariate density representation

Pedro Delicado, Philippe Vieu, P. Vieu, 2015, J. Multivar. Anal..

An introduction to recent advances in high/infinite dimensional statistics

Aldo Goia, Philippe Vieu, P. Vieu, 2016, J. Multivar. Anal..

Editorial on the special issue on Functional Data Analysis and Related Topics

Ricardo Cao, Philippe Vieu, Germán Aneiros, 2019, Comput. Stat..

Variable selection in functional regression models: A review

Philippe Vieu, Germán Aneiros, Silvia Novo, 2021, J. Multivar. Anal..

Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)

Mustapha Rachdi, Philippe Vieu, Idir Ouassou, 2021, Stats.

Missing responses at random in functional single index model for time series data

Philippe Vieu, Hui Ding, Nengxiang Ling, 2021, Statistical Papers.

A kNN procedure in semiparametric functional data analysis

Philippe Vieu, Germán Aneiros, Silvia Novo, 2021 .

Contributions in Infinite-Dimensional Statistics and Related Topics

Enea G. Bongiorno, Aldo Goia, Philippe Vieu, 2014 .

Kernel Regression Estimation for Functional Data

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2018, Oxford Handbooks Online.

Mean estimation with data missing at random for functional covariables

Mariela Sued, Frédéric Ferraty, Philippe Vieu, 2013 .

Choice of regressors in nonparametric estimation

Philippe Vieu, P. Vieu, 1994 .

Empirical distribution function for mixing random variables. application in nonparametric hazard estimation

Philippe Vieu, P. Sarda, P. Vieu, 1989 .

kNN estimation in functional partial linear modeling

Philippe Vieu, Germán Aneiros, Nengxiang Ling, 2020 .

Cross-validated estimations in the single-functional index model

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2008 .

Modèle à indice fonctionnel simple

Philippe Vieu, Frédéric Ferraty, Agnès Peuch, 2003 .

Nonparametric modelling for functional data: selected survey and tracks for future

Philippe Vieu, Nengxiang Ling, P. Vieu, 2018, Statistics.

Advances on nonparametric regression for functional variables

Philippe Vieu, Andr'e Mas, P. Vieu, 2006, math/0603084.

Local data-driven bandwidth choice for density estimation

Jan Mielniczuk, Philippe Vieu, Pascal Sarda, 1989 .

Uniform in bandwidth consistency for various kernel estimators involving functional data

Mustapha Rachdi, Philippe Vieu, Ali Laksaci, 2017 .

Semi-functional partial linear regression

Philippe Vieu, Germán Aneiros-Pérez, P. Vieu, 2006 .

Optimal smooth hazard estimates

Philippe Vieu, Pascal Sarda, Élie Youndjé, 1996 .

Functional time series prediction via conditional mode estimation

Frédéric Ferraty, Philippe Vieu, Ali Laksaci, 2005 .

Error variance estimation in semi-functional partially linear regression models

Philippe Vieu, Nengxiang Ling, P. Vieu, 2015 .

Maximum ozone concentration forecasting by functional non‐parametric approaches

Philippe Vieu, Hervé Cardot, Germán Aneiros-Pérez, 2004 .

3. Kernel Regression

Philippe Vieu, P. Vieu, Pascal Sarda and, 2012 .

Multiple Kernel Procedure: an Asymptotic Support

Philippe Vieu, P. Vieu, 1999 .

Consistency of the regression estimator with functional data under long memory conditions

Mustapha Rachdi, Philippe Vieu, Karim Benhenni, 2008 .

Estimation and testing in a partial linear regression model under long-memory dependence

Wenceslao González-Manteiga, Philippe Vieu, Germán Aneiros-Pérez, 2004 .

Longitudinal data with nonstationary errors: a nonparametric three-stage approach

Vicente Núñez-Antón, Philippe Vieu, Juan M. Rodríguez-Póo, 1999 .

Methodological Richness of Functional Data Analysis

Philippe Vieu, Wenceslao González Manteiga, 2011 .

Kernel regression with functional response

Frédéric Ferraty, Philippe Vieu, Ali Laksaci, 2011 .

Data-Driven Model Choice in Multivariate Nonparametric Regression

Philippe Vieu, 2002 .

On the Validity of the Bootstrap in Non‐Parametric Functional Regression

Ingrid Van Keilegom, Frédéric Ferraty, Philippe Vieu, 2009 .

A note on variable selection in nonparametric regression with dependent data

Wenceslao González-Manteiga, Philippe Vieu, Alejandro Quintela-del-Río, 2002 .

Functional Statistics and Related Fields

Enea G. Bongiorno, Ricardo Cao, Philippe Vieu, 2017 .

An Adaptive Specification Test For Semiparametric Models

Stefan Sperlich, Philippe Vieu, Juan Manuel Rodriguez-Poo, 2007 .

Variable Selection in Semi-Functional Regression Models

Frédéric Ferraty, Philippe Vieu, Germán Aneiros, 2011 .

Uniform consistency of kNN regressors for functional variables

Nadia L. Kudraszow, Philippe Vieu, P. Vieu, 2013 .

Variable selection in infinite-dimensional problems

Philippe Vieu, Germán Aneiros, P. Vieu, 2014 .

Growth curves: a two-stage nonparametric approach

Philippe Vieu, Louis Ferré, P. Vieu, 1994 .

Nonparametric regression estimation for functional stationary ergodic data with missing at random

Philippe Vieu, Nengxiang Ling, P. Vieu, 2015 .

OPTIMAL CHOICE OF NONPARAMETRIC ESTIMATES OF A DENSITY AND OF ITS DERIVATIVES

Jiří Zelinka, Philippe Vieu, Ivanka Horová, 2002 .

Variable selection in partial linear regression with functional covariate

Frédéric Ferraty, Philippe Vieu, Germán Aneiros, 2015 .

A note on density mode estimation

Philippe Vieu, P. Vieu, 1996 .

Convergence rate for cross-validatory bandwidth in kernel hazard estimation from dependent samples

Philippe Vieu, Alejandro Quintela-del-Río, P. Vieu, 2002 .

On dimension reduction models for functional data

Philippe Vieu, P. Vieu, 2018 .

Locally modelled regression and functional data

Frédéric Ferraty, Philippe Vieu, P. Vieu, 2010 .

Bootstrap confidence intervals in functional nonparametric regression under dependence

Philippe Vieu, Juan Vilar, Germán Aneiros, 2016 .

Recent Advances on Functional Additive Regression

Frédéric Ferraty, Aldo Goia, Philippe Vieu, 2011 .

Most-predictive design points for functional data predictors

Frédéric Ferraty, Philippe Vieu, Peter Hall, 2010 .

Nonparametric time series prediction: A semi-functional partial linear modeling

Philippe Vieu, Germán Aneiros-Pérez, P. Vieu, 2008 .