Pages that link to "Item:Q4962431"

The following pages link to Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains (Q4962431):

Displaying 50 items.

• Robust functional principal component analysis for non-Gaussian longitudinal data (Q115416) (← links)
• Two-sample tests for multivariate functional data with applications (Q830490) (← links)
• Multilevel functional principal component analysis (Q1018634) (← links)
• Clustering multivariate functional data using unsupervised binary trees (Q2076137) (← links)
• Anomaly detection: a functional analysis perspective (Q2078552) (← links)
• Region-referenced spectral power dynamics of EEG signals: a hierarchical modeling approach (Q2078794) (← links)
• Subgroup analysis for high-dimensional functional regression (Q2079631) (← links)
• Time-varying functional principal components for non-stationary \(\text{EpCO}_2\) in freshwater systems (Q2102970) (← links)
• Bayesian latent factor regression for multivariate functional data with variable selection (Q2131944) (← links)
• Predictive functional linear models with diverging number of semiparametric single-index interactions (Q2171997) (← links)
• Functional multiple-outcome model in application to multivariate growth curves of infant data (Q2235633) (← links)
• Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies (Q2242173) (← links)
• Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation (Q2281194) (← links)
• Intrinsic Riemannian functional data analysis (Q2284383) (← links)
• Independent component analysis for multivariate functional data (Q2293541) (← links)
• Nonlinear and additive principal component analysis for functional data (Q2657189) (← links)
• Multivariate functional principal component analysis: A normalization approach (Q3195161) (← links)
• Longitudinal Principal Component Analysis With an Application to Marketing Data (Q3391432) (← links)
• Sparse Functional Principal Component Analysis in High Dimensions (Q5041340) (← links)
• Modeling and analysis of functional method comparison data (Q5055209) (← links)
• Sparse Functional Boxplots for Multivariate Curves (Q5057222) (← links)
• Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction (Q5057247) (← links)
• Principal Component Analysis of Spatially Indexed Functions (Q6044633) (← links)
• Multinomial logistic factor regression for multi-source functional block-wise missing data (Q6057049) (← links)
• Cross‐component registration for multivariate functional data, with application to growth curves (Q6076495) (← links)
• Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease (Q6079458) (← links)
• Classification of multivariate functional data on different domains with partial least squares approaches (Q6089207) (← links)
• Functional principal component analysis for partially observed elliptical process (Q6115538) (← links)
• Factor models for high‐dimensional functional time series I: Representation results (Q6135371) (← links)
• Factor models for high‐dimensional functional time series II: Estimation and forecasting (Q6135372) (← links)
• Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma (Q6163507) (← links)
• Estimation of the nonparametric mean and covariance functions for multivariate longitudinal and sparse functional data (Q6164733) (← links)
• Tests for equality of several covariance matrix functions for multivariate functional data (Q6183692) (← links)
• Multivariate functional principal component analysis for endogenously stratified data (Q6185055) (← links)
• Stein's method, Gaussian processes and palm measures, with applications to queueing (Q6187479) (← links)
• Linearized maximum rank correlation estimation when covariates are functional (Q6536693) (← links)
• A general framework for multivariate functional principal component analysis of amplitude and phase variation (Q6541495) (← links)
• Fast covariance estimation for multivariate sparse functional data (Q6541536) (← links)
• Sparse multivariate functional principal component analysis (Q6543850) (← links)
• Multivariate functional outlier detection using the fast massive unsupervised outlier detection indices (Q6548811) (← links)
• Functional time series forecasting: functional singular spectrum analysis approaches (Q6548881) (← links)
• Functional Nonlinear Learning (Q6552535) (← links)
• Simultaneous inference and uniform test for eigensystems of functional data (Q6554252) (← links)
• Guaranteed Functional Tensor Singular Value Decomposition (Q6567895) (← links)
• Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions (Q6567942) (← links)
• Control charts for monitoring ship operating conditions and \(\mathrm{CO}_2\) emissions based on scalar-on-function regression (Q6576854) (← links)
• Multivariate functional subspace classification for high-dimensional longitudinal data (Q6578481) (← links)
• Multi-feature clustering of step data using multivariate functional principal component analysis (Q6579416) (← links)
• Latent factor model for multivariate functional data (Q6589275) (← links)
• Latent deformation models for multivariate functional data and time-warping separability (Q6589278) (← links)