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Mathematics

D-Index
50
Citations
12103
World Ranking
1070
National Ranking
55

Overview

Philippe Vieu is affiliated with Paul Sabatier University in France, contributing to research primarily in the fields of Mathematics and Computer Science.

Their research spans several specialized subfields, including:

  • Statistics and Probability
  • Artificial Intelligence
  • Control and Systems Engineering
  • Applied Mathematics
  • Statistics, Probability and Uncertainty

Main topics of their work cover a range of statistical and computational areas such as:

  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Control Systems and Identification
  • Fuzzy Systems and Optimization

The scientist has published multiple papers with a focus on functional data analysis, semiparametric regression, and variable selection in functional regression models. Recent publications include:

  • On functional data analysis and related topics, 2021, Journal of Multivariate Analysis
  • Variable selection in functional regression models: A review, 2021, Journal of Multivariate Analysis
  • On semiparametric regression in functional data analysis, 2020, Wiley Interdisciplinary Reviews Computational Statistics
  • Missing responses at random in functional single index model for time series data, 2021, Statistical Papers
  • Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables, 2020, Test

Their frequent coauthors include Germán Aneiros, Silvia Novo, Nengxiang Ling, Ivana Horová, and Marie Hušková, indicating collaboration within the domains of functional data and statistical modeling.

Publication activity is concentrated in several key venues such as:

  • Journal of Multivariate Analysis
  • Test
  • Statistics & Probability Letters
  • Statistical Papers
  • Wiley Interdisciplinary Reviews Computational Statistics

Philippe Vieu has contributed to book publications as well, notably with a title published by Contributions to Statistics:

  • Functional and High-Dimensional Statistics and Related Fields, 2020

Best Publications

  • Nonparametric functional data analysis : theory and practice

    Frédéric Ferraty;Philippe Vieu

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

    Frédéric Ferraty;Philippe Vieu

  • Nonparametric Curve Estimation from Time Series

    Lázió Györfi;Wolfgang Härdle;Pascal Sarda;Philippe Vieu

  • Curves discrimination: a nonparametric functional approach

    Frédéric Ferraty;Frédéric Ferraty;Philippe Vieu

  • The Functional Nonparametric Model and Application to Spectrometric Data

    Frédéric Ferraty;Philippe Vieu

  • Nonparametric regression on functional data: inference and practical aspects

    Frédéric Ferraty;André Mas;Philippe Vieu

  • KERNEL REGRESSION SMOOTHING OF TIME SERIES

    Wolfgang Härdle;Philippe Vieu

  • Semi-functional partial linear regression

    Unknown

  • Data-Driven Bandwidth Choice for Density Estimation Based on Dependent Data

    Jeffrey D. Hart;Philippe Vieu

  • Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination

    F. Ferraty;P. Vieu

  • Rate of uniform consistency for nonparametric estimates with functional variables

    Frédéric Ferraty;Ali Laksaci;Amel Tadj;Philippe Vieu

  • An introduction to recent advances in high/infinite dimensional statistics

    Aldo Goia;Philippe Vieu

  • Parametric modelling of growth curve data: An overview

    Unknown

  • k-Nearest Neighbour method in functional nonparametric regression

    Florent Burba;Frédéric Ferraty;Philippe Vieu

  • Estimating Some Characteristics of the Conditional Distribution in Nonparametric Functional Models

    Frédéric Ferraty;Ali Laksaci;Philippe Vieu

  • Nonparametric regression for functional data: automatic smoothing parameter selection

    Mustapha Rachdi;Philippe Vieu

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

    Germán Aneiros-Pérez;Philippe Vieu

  • Locally modelled regression and functional data

    J. Barrientos-Marin;Frédéric Ferraty;Philippe Vieu

  • Recent advances in functional data analysis and high-dimensional statistics

    Germán Aneiros;Ricardo Cao;Ricardo Fraiman;Christian Genest

  • Cross-validated estimations in the single-functional index model

    Ahmed Ait-Saïdi;Frédéric Ferraty;Rabah Kassa;Philippe Vieu

  • Editorial: Statistics for Functional Data

    Wenceslao González Manteiga;Philippe Vieu

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

    Nengxiang Ling;Philippe Vieu

Frequent Co-Authors

Frédéric Ferraty
Frédéric Ferraty University of Toulouse-Jean Jaurès
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Wenceslao González-Manteiga
Wenceslao González-Manteiga University of Santiago de Compostela
Winfried Stute
Winfried Stute University of Giessen
Christian Genest
Christian Genest McGill University
Holger Dette
Holger Dette Ruhr University Bochum
Paul A. Sabatier
Paul A. Sabatier University of California, Davis
Timothy G. Gregoire
Timothy G. Gregoire Yale University

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