Pages that link to "Item:Q3195161"

The following pages link to Multivariate functional principal component analysis: A normalization approach (Q3195161):

Displaying 50 items.

• Robust functional principal component analysis for non-Gaussian longitudinal data (Q115416) (← links)
• Clustering multivariate functional data in group-specific functional subspaces (Q160298) (← links)
• Multivariate functional linear regression and prediction (Q268779) (← links)
• Two-sample tests for multivariate functional data with applications (Q830490) (← links)
• Multilevel functional principal component analysis (Q1018634) (← links)
• Principal components for multivariate functional data (Q1658312) (← links)
• Selected statistical methods of data analysis for multivariate functional data (Q1706466) (← links)
• High-dimensional functional time series forecasting: an application to age-specific mortality rates (Q1733284) (← links)
• Principal component analysis for functional data on Riemannian manifolds and spheres (Q1990583) (← links)
• Region-referenced spectral power dynamics of EEG signals: a hierarchical modeling approach (Q2078794) (← links)
• Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data (Q2080741) (← links)
• Predictive functional linear models with diverging number of semiparametric single-index interactions (Q2171997) (← 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)
• Independent component analysis for multivariate functional data (Q2293541) (← links)
• Smooth LASSO estimator for the function-on-function linear regression model (Q2674500) (← links)
• A multivariable interval functional principal component analysis based on time-varying distance function (Q3385150) (← links)
• Longitudinal Principal Component Analysis With an Application to Marketing Data (Q3391432) (← links)
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains (Q4962431) (← links)
• Sparse Functional Principal Component Analysis in High Dimensions (Q5041340) (← links)
• Modeling and analysis of functional method comparison data (Q5055209) (← links)
• Functional principal component analysis estimator for non-Gaussian data (Q5096688) (← links)
• Partially Linear Functional Additive Models for Multivariate Functional Data (Q5229922) (← links)
• Inference for the Lagged Cross‐Covariance Operator Between Functional Time Series (Q5237526) (← links)
• A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain (Q5242454) (← links)
• Linear Manifold Modelling of Multivariate Functional Data (Q5743257) (← links)
• Copula Gaussian Graphical Models for Functional Data (Q5885103) (← links)
• Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach (Q6040510) (← 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)
• Functional principal component analysis for partially observed elliptical process (Q6115538) (← links)
• Factor models for high‐dimensional functional time series II: Estimation and forecasting (Q6135372) (← links)
• Lasso in Infinite dimension: application to variable selection in functional multivariate linear regression (Q6144429) (← 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)
• Functional classwise principal component analysis: a classification framework for functional data analysis (Q6487746) (← 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)
• A global test for heteroscedastic one-way FMANOVA with applications (Q6541931) (← links)
• Sparse multivariate functional principal component analysis (Q6543850) (← links)
• Functional time series forecasting: functional singular spectrum analysis approaches (Q6548881) (← links)
• Functional Nonlinear Learning (Q6552535) (← links)
• Clustering for bivariate functional data (Q6565524) (← links)
• Control charts for monitoring ship operating conditions and \(\mathrm{CO}_2\) emissions based on scalar-on-function regression (Q6576854) (← links)
• Multi-feature clustering of step data using multivariate functional principal component analysis (Q6579416) (← links)
• Latent factor model for multivariate functional data (Q6589275) (← links)
• Homogeneity tests of covariance for high-dimensional functional data with applications to event segmentation (Q6589277) (← links)
• Latent deformation models for multivariate functional data and time-warping separability (Q6589278) (← links)
• Penalized spline estimation of principal components for sparse functional data: rates of convergence (Q6589574) (← links)
• A journey from univariate to multivariate functional time series: a comprehensive review (Q6604354) (← links)