Shape-based functional data analysis

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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Functional and shape data analysis
Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data
A gradient-descent method for curve fitting on Riemannian manifolds
Statistics of time warpings and phase variations
Statistical methods with varying coefficient models
Multivariate varying coefficient model for functional responses
Regression models using shapes of functions as predictors
Intrinsic statistics on Riemannian manifolds: Basic tools for geometric measurements
Prediction in functional linear regression
Functional additive regression
The Riemannian structure of Euclidean shape spaces: A novel environment for statistics
Estimation of unimodal densities without smoothness assumptions
Statistical estimation in varying coefficient models
Estimator selection and combination in scalar-on-function regression
Penalized scalar-on-functions regression with interaction term
Function-on-function regression with thousands of predictive curves
Functional data analysis of amplitude and phase variation
Rate-invariant analysis of covariance trajectories
Functional linear model
The De Casteljau algorithm on Lie groups and spheres
Geodesic regression and the theory of least squares on Riemannian manifolds
Partial functional linear regression
Extrinsic Gaussian processes for regression and classification on manifolds
Penalized function-on-function regression
Statistical analysis of trajectories on Riemannian manifolds: bird migration, hurricane tracking and video surveillance
Functional data analysis.
Nonparametric functional data analysis. Theory and practice.
Locating Fréchet means with application to shape spaces
Shape curves and geodesic modelling
Bayesian function-on-function regression for multilevel functional data
Functional Mixed Effects Models
Response-Adaptive Regression for Longitudinal Data
Pairwise curve synchronization for functional data
Phase-Amplitude Separation and Modeling of Spherical Trajectories
Riemannian Means as Solutions of Variational Problems
Cubic Splines on Curved Spaces
Functional Data Analysis with R and MATLAB
Generalized Additive Models: Some Applications
Introduction to Functional Data Analysis
Fitting Smooth Paths to Speherical Data
Splines of class C^k on non-euclidean spaces
Intrinsic Regression Models for Medial Representation of Subcortical Structures
Elastic functional principal component regression
Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities
Partially Linear Functional Additive Models for Multivariate Functional Data
Intrinsic Gaussian Processes on Complex Constrained Domains
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
Generalized Functional Linear Models With Semiparametric Single-Index Interactions
Functional quadratic regression
Analysis of Variance for Functional Data
Regression Models on Riemannian Symmetric Spaces
Functional Additive Models
Shape-space smoothing splines for planar landmark data
NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
Measurement Error in Nonlinear Models
Maximum Likelihood Estimation of a Unimodal Density, II
Structured Functional Additive Regression in Reproducing Kernel Hilbert Spaces
Functional Data Analysis for Sparse Longitudinal Data
Functional regression on the manifold with contamination
Methods for Scalar‐on‐Function Regression
LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures
Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements