Functional data analysis: an introduction and recent developments

Cites Work

Shrinkage estimation and selection for multiple functional regression
Testing the Equality of Covariance Operators in Functional Samples
Analyzing Compositional Data with R
Corrected Confidence Bands for Functional Data Using Principal Components
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
The functional linear array model
Bayesian Function-on-Scalars Regression for High-Dimensional Data
Estimation of the Mean of Functional Time Series and a Two-Sample Problem
Practical Smoothing
Multivariate analysis of variance for functional data
A general framework for functional regression modelling
An Invitation to Statistics in Wasserstein Space
New Tests for Equality of Several Covariance Functions for Functional Data
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
On the Concept of Depth for Functional Data
Hypothesis testing in functional linear models
On the Prediction of Stationary Functional Time Series
Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data
A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data
One‐Way <scp>anova</scp> for Functional Data via Globalizing the Pointwise F‐test
Functional Additive Models
Nearest neighbor classification in infinite dimension
Achieving near Perfect Classification for Functional Data
Fast BivariateP-Splines: The Sandwich Smoother
Functional Data Analysis for Sparse Longitudinal Data
A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes
CovNet: Covariance Networks for Functional Data on Multidimensional Domains
Additive models for symmetric positive-definite matrices and Lie groups
Deep Learning With Functional Inputs
Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease
Methods for Scalar‐on‐Function Regression
Nonparametric regression and classification with functional, categorical, and mixed covariates
Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data
Functional Additive Models on Manifolds of Planar Shapes and Forms
Uniform convergence rates and automatic variable selection in nonparametric regression with functional and categorical covariates
Nonlinear Functional Modeling Using Neural Networks
Tests for equality of several covariance matrix functions for multivariate functional data
Variable selection in generalized functional linear models
Longitudinal functional data analysis
Variable selection in function-on-scalar regression
A general framework for multivariate functional principal component analysis of amplitude and phase variation
F-type testing in functional linear models
On semiparametric regression in functional data analysis
Review on functional data classification
Fast and fair simultaneous confidence bands for functional parameters
Linear Hypothesis Testing With Functional Data
Functional PCA With Covariate-Dependent Mean and Covariance Structure
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components
Multivariate functional clustering for the morphological analysis of electrocardiograph curves
A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis
Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals
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Elastic analysis of irregularly or sparsely sampled curves
Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm
Algorithm AS 136: A K-Means Clustering Algorithm
Model-based clustering of time series in group-specific functional subspaces
Multivariate Functional Data Visualization and Outlier Detection
Clustering multivariate functional data in group-specific functional subspaces
Restricted likelihood ratio tests for linearity in scalar-on-function regression
Multivariate functional linear regression and prediction
Amplitude and phase variation of point processes
Generalized functional additive mixed models
Statistical inference for stochastic processes: two-sample hypothesis tests
Functional and shape data analysis
A partial overview of the theory of statistics with functional data
Inference for functional data with applications
Analysis of spike train data: a multivariate mixed effects model for phase and amplitude
The function-on-scalar LASSO with applications to longitudinal GWAS
A simple multiway ANOVA for functional data
On data depth in infinite dimensional spaces
Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
Functional linear regression that's interpretable
Functional additive regression
A comparison of tests for the one-way ANOVA problem for functional data
An ANOVA test for functional data
Common functional principal components
Multilevel functional principal component analysis
Functions of positive and negative type, and their connection with the theory of integral equations.
Linear processes in function spaces. Theory and applications
Statistical shape analysis of simplified neuronal trees
Model-based clustering for multivariate functional data
Variable and boundary selection for functional data via multiclass logistic regression modeling
Principal components for multivariate functional data
A note on modeling sparse exponential-family functional response curves
Fast symmetric additive covariance smoothing
Testing the equality of several covariance functions for functional data: a supremum-norm based test
Boosting flexible functional regression models with a high number of functional historical effects
On a general definition of depth for functional data
Selected statistical methods of data analysis for multivariate functional data
Multilayer feedforward networks are universal approximators
Simultaneous variable selection and smoothing for high-dimensional function-on-scalar regression
A new test for functional one-way ANOVA with applications to ischemic heart screening
Clustering functional data
Functional data analysis of amplitude and phase variation
The control of the false discovery rate in multiple testing under dependency.
Variable selection for functional regression models via the \(L_1\) regularization
Longitudinal functional principal component analysis
Dependent functional data
Variable selection in classification for multivariate functional data
Additive regression for non-Euclidean responses and predictors
From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas
Variable selection in functional regression models: a review
Preprocessing noisy functional data: a multivariate perspective
Variable selection for functional linear models with strong heredity constraint
Graph-valued regression: prediction of unlabelled networks in a non-Euclidean graph space
Geodesic regression and the theory of least squares on Riemannian manifolds
Nonlinear mixed-effects scalar-on-function models and variable selection
Procrustes metrics on covariance operators and optimal transportation of Gaussian processes
On the two-sample Behrens-Fisher problem for functional data
A comparison of testing methods in scalar-on-function regression
Remark on the finite-dimensional character of certain results of functional statistics
Generalized functional linear models
Simultaneous confidence bands for functional regression models
fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data
Functional data clustering: a survey
Cramér-Karhunen-Loève representation and harmonic principal component analysis of functional time series
Functional data analysis.
Nonparametric functional data analysis. Theory and practice.
Forecasting functional time series
Statistical inferences for functional data
Bayes Hilbert Spaces
The interval testing procedure: A general framework for inference in functional data analysis
Statistical Shape Analysis, with Applications in R
Classical testing in functional linear models
Overview of object oriented data analysis
Optimally weightedL²distance for functional data
Gaussian Process Regression Analysis for Functional Data
Most-predictive design points for functional data predictors
Statistical inferences for linear models with functional responses
Simultaneous confidence bands for nonparametric regression with functional data
Dispersion operators and resistant second-order functional data analysis
Multivariate functional principal component analysis: A normalization approach
Wavelet-based Functional Mixed Models
Generalized multilevel function‐on‐scalar regression and principal component analysis
Structured functional principal component analysis
Functional Data Analysis with R and MATLAB
Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
Curve Registration
Box-Type Approximations in Nonparametric Factorial Designs
Clustering for Sparsely Sampled Functional Data
On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification
Flexible Bayesian additive joint models with an application to type 1 diabetes research
A Geometric Approach to Confidence Regions and Bands for Functional Parameters
Introduction to Functional Data Analysis
Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
Modeling Repeated Functional Observations
Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means

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