Generalized linear models for geometrical current predictors: An application to predict garment fit

DOI10.1177/1471082X19885465OpenAlexW2994101205WikidataQ126669071 ScholiaQ126669071MaRDI QIDQ3386480

S. Barahona, Ximo Gual-Arnau, P. Centella, Amelia Simó, María Victoria Ibáñez

Publication date: 4 January 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.03019

zbMATH Keywords

functional data analysisordinal regressionstatistical shape and size analysisvector-valued reproducing kernel Hilbert space

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Matlab
• R
• fda (R)
• ordinal
• OCAPIS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A reproducing kernel Hilbert space approach to functional linear regression
• Estimation in functional regression for general exponential families
• Intrinsic statistics on Riemannian manifolds: Basic tools for geometric measurements
• Regression models for functional data by reproducing kernel Hilbert spaces methods
• An extension of Fisher's discriminant analysis for stochastic processes
• Image and video colorization using vector-valued reproducing kernel Hilbert spaces
• Functional linear model
• Principal component analysis.
• On using functions to describe the shape
• Resuming shapes with applications
• Unsupervised classification of children's bodies using currents
• Functional data analysis.
• Estimation in generalized linear models for functional data via penalized likelihood
• Nonparametric functional data analysis. Theory and practice.
• Computing large deformation metric mappings via geodesic flows of diffeomorphisms
• Stochastic processes with sample paths in reproducing kernel Hilbert spaces
• On the mathematical foundations of learning
• Statistical Shape Analysis, with Applications in R
• An Approach to Time Series Analysis
• Support Vector Machines
• Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
• Approximation of estimators in the PCA of a stochastic process using B-splines
• Minimax and Adaptive Prediction for Functional Linear Regression
• Generalized Linear Models with Functional Predictors
• Principal component estimation of functional logistic regression: discussion of two different approaches
• Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
• Theory of Reproducing Kernels

This page was built for publication: Generalized linear models for geometrical current predictors: An application to predict garment fit