Functional models for time-varying random objects

Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain

(2019) Alexander Petersen et al.   Annals of Applied Statistics

Fréchet regression for random objects with Euclidean predictors

(2019) Alexander Petersen et al.   ANNALS OF STATISTICS

Wasserstein covariance for multiple random densities

(2019) Alexander Petersen et al.   BIOMETRIKA

A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain

(2019) Shahin Tavakoli et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Fréchet analysis of variance for random objects

(2019) Paromita Dubey et al.   BIOMETRIKA

The resistance perturbation distance: A metric for the analysis of dynamic networks

(2018) Nathan D. Monnig et al.   DISCRETE APPLIED MATHEMATICS

Principal component analysis for functional data on Riemannian manifolds and spheres

(2018) Xiongtao Dai et al.   ANNALS OF STATISTICS

Elastic Functional Coding of Riemannian Trajectories

(2017) Rushil Anirudh et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A geometric approach to confidence regions and bands for functional parameters

(2017) Hyunphil Choi et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Functional principal component analysis of glomerular filtration rate curves after kidney transplant

(2017) Jianghu J Dong et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

The Energy of Data

(2017) Gábor J. Székely et al.   Annual Review of Statistics and Its Application

Functional data analysis for density functions by transformation to a Hilbert space

(2016) Alexander Petersen et al.   ANNALS OF STATISTICS

Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data

(2016) Alexander Petersen et al.   BIOMETRIKA

Multivariate functional linear regression and prediction

(2016) Jeng-Min Chiou et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Extrinsic Local Regression on Manifold-Valued Data

(2016) Lizhen Lin et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regression models on Riemannian symmetric spaces

(2016) Emil Cornea et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modelling function-valued stochastic processes, with applications to fertility dynamics

(2016) Kehui Chen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Functional Data Analysis

(2016) Jane-Ling Wang et al.   Annual Review of Statistics and Its Application

Distances and inference for covariance operators

(2014) D. Pigoli et al.   BIOMETRIKA

Regression for non-Euclidean data using distance matrices

(2014) Julian J. Faraway   JOURNAL OF APPLIED STATISTICS

Distance covariance in metric spaces

(2013) Russell Lyons   ANNALS OF PROBABILITY

Equivalence of distance-based and RKHS-based statistics in hypothesis testing

(2013) Dino Sejdinovic et al.   ANNALS OF STATISTICS

Multivariate Functional Halfspace Depth

(2013) Gerda Claeskens et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Model-based clustering for multivariate functional data

(2012) Julien Jacques et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds

(2012) P. Thomas Fletcher   INTERNATIONAL JOURNAL OF COMPUTER VISION

Modeling Repeated Functional Observations

(2012) Kehui Chen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Local polynomial regression for symmetric positive definite matrices

(2012) Ying Yuan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The analysis of multivariate longitudinal data: A review

(2012) Geert Verbeke et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Principal components for multivariate functional data

(2011) J.R. Berrendero et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds

(2011) J. Su et al.   IMAGE AND VISION COMPUTING

Nonparametric Regression between General Riemannian Manifolds

(2010) Florian Steinke et al.   SIAM Journal on Imaging Sciences

Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging

(2009) Ian L. Dryden et al.   Annals of Applied Statistics

Joint modelling of paired sparse functional data using principal components

(2008) L. Zhou et al.   BIOMETRIKA