Cover Image

Derivative Estimation of Multivariate Functional Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Yueyun, Golovkine, Steven, Bargary, Norma, Simpkin, Andrew J.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Covariance estimation for derivatives of functional data using an additive penalty in P-splines
by: Zhu, Yueyun, et al.
Published: (2026)

On the use of the Gram matrix for multivariate functional principal components analysis
by: Golovkine, Steven, et al.
Published: (2023)

On the estimation of the number of components in multivariate functional principal component analysis
by: Golovkine, Steven, et al.
Published: (2023)

A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
by: Gunning, Edward, et al.
Published: (2024)

Analysing kinematic data from recreational runners using functional data analysis
by: Gunning, Edward, et al.
Published: (2024)

Estimation of Multivariate Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)

Modified Tests of Linear Hypotheses Under Heteroscedasticity for Multivariate Functional Data with Finite Sample Sizes
by: Zhu, Tianming
Published: (2025)

Explainable Outlier Detection for Multivariate Functional Data
by: Mayrhofer, Marcus, et al.
Published: (2026)

Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022)

Gaussian Graphical Models for Partially Observed Multivariate Functional Data
by: Borriero, Marco, et al.
Published: (2025)

Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
by: Pathmanathan, Dharini, et al.
Published: (2024)

Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems
by: Jin, Zhongnan, et al.
Published: (2024)

Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)

Unified Operator Framework for Functional and Multivariate Regression
by: Carpenter, Mark, et al.
Published: (2026)

Robust Multivariate Functional Control Chart
by: Capezza, Christian, et al.
Published: (2022)

An Adaptive Multivariate Functional Control Chart
by: Centofanti, Fabio, et al.
Published: (2025)

Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)

Variable Domain Multivariate Functional Principal Component Analysis
by: Amaro, Pavel Hernández, et al.
Published: (2026)

Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)

Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator
by: Metodiev, Martin, et al.
Published: (2025)

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
by: Schumacher, Austin E, et al.
Published: (2025)

Multivariate Nonnegative Trigonometric Sums Distributions for High-Dimensional Multivariate Circular Data
by: Fernández-Durán, et al.
Published: (2023)

Clustered Factor Analysis for Multivariate Spatial Data
by: Jin, Yanxiu, et al.
Published: (2024)

Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

An Adaptive Multivariate Functional EWMA Control Chart
by: Capezza, Christian, et al.
Published: (2024)

MultiFun-DAG: Multivariate Functional Directed Acyclic Graph
by: Lan, Tian, et al.
Published: (2024)

Graphical Principal Component Analysis of Multivariate Functional Time Series
by: Tan, Jianbin, et al.
Published: (2024)

Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)

A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023)

Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape
by: Volkmann, Alexander, et al.
Published: (2024)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
by: Liu, Hua, et al.
Published: (2025)

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
by: Matabuena, Marcos
Published: (2025)

A Componentwise Estimation Procedure for Multivariate Location and Scatter: Robustness, Efficiency and Scalability
by: Chakraborty, Soumya, et al.
Published: (2024)

High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)

Matrix-Variate Regression Model for Multivariate Spatio-Temporal Data
by: Diniz, Carlos A. Ribeiro, et al.
Published: (2025)

Quantile Residual Lifetime Regression for Multivariate Failure Time Data
by: Yu, Tonghui, et al.
Published: (2025)

A Dynamic Factor Model for Multivariate Counting Process Data
by: Chen, Fangyi, et al.
Published: (2025)

Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)