activity
20062025
most citedAdvances on nonparametric regression for functional variables

22 citations · 42 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2025

Density-valued time series: Nonparametric density-on-density regression

Frédéric Ferraty, Han Lin Shang

This paper is concerned with forecasting probability density functions. Density functions are nonnegative and have a constrained integral; thus, they do not constitute a vector spa…

stat.ME2019

Scalar-on-function local linear regression and beyond

Frédéric Ferraty, Stanislav Nagy

Regressing a scalar response on a random function is nowadays a common situation. In the nonparametric setting, this paper paves the way for making the local linear regression base…

stat.AP2017

Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology

D. Pigoli, J. A. D. Aston, F. Ferraty +3

Forensic entomology contributes important information to crime scene investigations. In this paper, we propose a method to estimate the hatching time of larvae (or maggots) based o…

stat.AP2016★ 1 cited

Stable and predictive functional domain selection with application to brain images

Ah Yeon Park, John A. D. Aston, Frederic Ferraty

Motivated by increasing trends of relating brain images to a clinical outcome of interest, we propose a functional domain selection (FuDoS) method that effectively selects subregio…

cs.CV2015★ 7 cited

Fast forward feature selection for the nonlinear classification of hyperspectral images

Mathieu Fauvel, Clement Dechesne, Anthony Zullo +1

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images.…

stat.ME2014★ 3 cited

An Algorithm for Nonlinear, Nonparametric Model Choice and Prediction

Frédéric Ferraty, Peter Hall

We introduce an algorithm which, in the context of nonlinear regression on vector-valued explanatory variables, chooses those combinations of vector components that provide best pr…