Cover Image

Fusion regression methods with repeated functional data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moindjié, Issam-Ali, Preda, Cristian, Dabo-Niang, Sophie
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

A multivariate spatial regression model using signatures
by: Frévent, Camille, et al.
Published: (2024)

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
by: Dabo, Issa-Mbenard, et al.
Published: (2025)

High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
by: Bigot, Jérémie, et al.
Published: (2024)

Uncovering Data Across Continua: An Introduction to Functional Data Analysis
by: Dabo-Niang, Sophie, et al.
Published: (2024)

A spatial scan statistical for categorical, functional data
by: Frévent, Camille, et al.
Published: (2026)

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

Functional regression with randomized signatures: An application to age-specific mortality rates
by: Yap, Zhong Jing, et al.
Published: (2025)

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

Gaussian and bootstrap approximations for functional principal component regression
by: Yeon, Hyemin
Published: (2026)

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

Series ridge regression for spatial data on $\mathbb{R}^d$
by: Kurisu, Daisuke, et al.
Published: (2024)

Generalized dynamic functional principal component analysis
by: Khoo, Tzung Hsuen, et al.
Published: (2024)

Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression
by: Li, Xin, et al.
Published: (2024)

Forecasting mortality rates with functional signatures
by: Yap, Zhong Jing, et al.
Published: (2024)

Anisotropic local constant smoothing for change-point regression function estimation
by: Thompson, John R. J., et al.
Published: (2020)

Bayesian change-plane regression
by: Ohnishi, Yuki, et al.
Published: (2026)

Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)

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)

Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)

Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)

Bayesian $L_{\frac{1}{2}}$ regression
by: Ke, Xiongwen, et al.
Published: (2021)

Regularized zero-inflated Bernoulli regression model
by: Ndoye, Mouhamed, et al.
Published: (2025)

Residual permutation test for regression coefficient testing
by: Wen, Kaiyue, et al.
Published: (2022)

High-dimensional regression with a count response
by: Zilberman, Or, et al.
Published: (2024)

Testing for no effect in regression problems: a permutation approach
by: Ciszewski, Michał, et al.
Published: (2023)

Neumann-series corrections for regression adjustment in randomized experiments
by: Song, Dogyoon
Published: (2025)

Design-based finite-sample analysis for regression adjustment
by: Song, Dogyoon
Published: (2025)

Deep neural expected shortfall regression with tail-robustness
by: Yu, Myeonghun, et al.
Published: (2025)

Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)

Valid and efficient possibilistic structure learning in Gaussian linear regression
by: Martin, Ryan, et al.
Published: (2025)

Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., et al.
Published: (2025)

Self-convolved Bootstrap for M-regression under Complex Temporal Dynamics
by: Liu, Miaoshiqi, et al.
Published: (2023)

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

Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
by: Forzani, Liliana, et al.
Published: (2025)

Shape-restricted transfer learning analysis for generalized linear regression model
by: Li, Pengfei, et al.
Published: (2024)

Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)

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

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
by: Lu, Xin, et al.
Published: (2023)

Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)