Intrinsic Riemannian functional data analysis for sparse longitudinal observations

Total variation regularized Fréchet regression for metric-space valued data

(2021) Zhenhua Lin et al.   ANNALS OF STATISTICS

Estimating the covariance of fragmented and other related types of functional data

(2020) Aurore Delaigle et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Functional models for time-varying random objects

(2020) Paromita Dubey et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modeling sparse longitudinal data on Riemannian manifolds

(2020) Xiongtao Dai et al.   BIOMETRICS

Basis Expansions for Functional Snippets

(2020) Zhenhua Lin et al.   BIOMETRIKA

Fréchet regression for random objects with Euclidean predictors

(2019) Alexander Petersen et al.   ANNALS OF STATISTICS

Intrinsic Riemannian functional data analysis

(2019) Zhenhua Lin et al.   ANNALS OF STATISTICS

Phase-Amplitude Separation and Modeling of Spherical Trajectories

(2018) Zhengwu Zhang et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Optimal weighting schemes for longitudinal and functional data

(2018) Xiaoke Zhang et al.   STATISTICS & PROBABILITY LETTERS

Principal component analysis for functional data on Riemannian manifolds and spheres

(2018) Xiongtao Dai et al.   ANNALS OF STATISTICS

OUP accepted manuscript

(2018)   BIOMETRIKA

Recent advances in functional data analysis and high-dimensional statistics

(2018) Germán Aneiros et al.   JOURNAL OF MULTIVARIATE ANALYSIS

From sparse to dense functional data and beyond

(2016) Xiaoke Zhang et al.   ANNALS OF STATISTICS

Regression models on Riemannian symmetric spaces

(2016) Emil Cornea 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

Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance

(2014) Jingyong Su et al.   Annals of Applied Statistics

Regression for non-Euclidean data using distance matrices

(2014) Julian J. Faraway   JOURNAL OF APPLIED STATISTICS

Intrinsic Polynomials for Regression on Riemannian Manifolds

(2014) Jacob Hinkle et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds

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

Optimal estimation of the mean function based on discretely sampled functional data: Phase transition

(2011) T. Tony Cai et al.   ANNALS OF STATISTICS

Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data

(2010) Yehua Li et al.   ANNALS OF STATISTICS

Riemannian $L^{p}$ center of mass: Existence, uniqueness, and convexity

(2010) Bijan Afsari   PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY

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

Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging

(2009) Hongtu Zhu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION