Cover Image

Multi-class classification of biomechanical data: A functional LDA approach based on multi-class penalized functional PLS

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aguilera-Morillo, M Carmen, Aguilera, Ana M
Format:	Preprint
Published:	2024
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Basis expansion approaches for functional analysis of variance with repeated measures
by: Acal, Christian, et al.
Published: (2024)

Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models
by: Hernandez-Amaro, Pavel, et al.
Published: (2024)

logitFD: an R package for functional principal component logit regression
by: Escabias, Manuel, et al.
Published: (2024)

Stochastic modeling of Random Access Memories reset transitions
by: Aguilera-Morillo, M Carmen, et al.
Published: (2024)

Multiple change point detection in functional data with applications to biomechanical fatigue data
by: Bastian, Patrick, et al.
Published: (2023)

A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)

Fatigue detection via sequential testing of biomechanical data using martingale statistic
by: Basu, Rupsa, et al.
Published: (2023)

Classification of multivariate functional data on different domains with Partial Least Squares approaches
by: Moindjie, Issam-Ali, et al.
Published: (2022)

Fairness-aware Bayes optimal functional classification
by: Hu, Xiaoyu, et al.
Published: (2025)

Homogeneity problem for basis expansion of functional data with applications to resistive memories
by: Aguilera, Ana M, et al.
Published: (2024)

Fusion regression methods with repeated functional data
by: Moindjié, Issam-Ali, et al.
Published: (2023)

Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)

Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data
by: Morenz, Eric R., et al.
Published: (2024)

Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)

Detection of mean changes in partially observed functional data
by: Hudecová, Šárka, et al.
Published: (2025)

A model-based approach for clustering binned data
by: Martínez, Asael Fabian, et al.
Published: (2024)

Optimal testing in a class of nonregular models
by: Shimizu, Yuya, et al.
Published: (2024)

Estimation of causal dose-response functions under data fusion
by: Lim, Jaewon, et al.
Published: (2025)

On new tests for the Poisson distribution based on empirical weight functions
by: Kirui, Winnie, et al.
Published: (2024)

Functional knockoffs selection with applications to functional data analysis in high dimensions
by: Qiao, Xinghao, et al.
Published: (2024)

Inference for function-on-function regression: central limit theorem and residual bootstrap
by: Yeon, Hyemin
Published: (2026)

An autocovariance-based learning framework for high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2020)

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations
by: Smucler, Ezequiel, et al.
Published: (2025)

Multi-resolution subsampling for large-scale linear classification
by: Chen, Haolin, et al.
Published: (2024)

Optimal rates for estimating the covariance kernel from synchronously sampled functional data
by: Berger, Max, et al.
Published: (2024)

Penalized spline estimation of principal components for sparse functional data: rates of convergence
by: He, Shiyuan, et al.
Published: (2024)

Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
by: Li, Harrison H.
Published: (2024)

Sketching stochastic valuation functions
by: Vojnović, Milan, et al.
Published: (2022)

A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
by: Mahendran, Amalan, et al.
Published: (2025)

Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
by: Lautier, Jackson P., et al.
Published: (2021)

Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture
by: Batlle, Pau, et al.
Published: (2023)

Gradual changes in functional time series
by: Bastian, Patrick, et al.
Published: (2024)

Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)

Nonparametric, tuning-free estimation of S-shaped functions
by: Feng, Oliver Y., et al.
Published: (2021)

Testing distributional equality for functional random variables
by: Banerjee, Bilol
Published: (2023)

Inference on the attractor spaces via functional approximation
by: Franchi, Massimo, et al.
Published: (2025)

Sign and signed rank tests for paired functions
by: Meyer, Mark J.
Published: (2025)

Linear-Phase-Type probability modelling of functional PCA with applications to resistive memories
by: Ruiz-Castro, Juan E., et al.
Published: (2024)

Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)

Testing for changes in the error distribution in functional linear models
by: Neumeyer, Natalie, et al.
Published: (2024)