DOI10.1111/j.1467-9868.2011.01022.xzbMath1411.62110OpenAlexW2105158529WikidataQ36251329 ScholiaQ36251329MaRDI QIDQ5743143
Ying Yuan, Weili Lin, James Stephen Marron, Hong-Tu Zhu
Publication date: 9 May 2019
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3448376
Intrinsic Hölder classes of density functions on Riemannian manifolds and lower bounds to convergence rates,
Nonparametric matrix regression function estimation over symmetric positive definite matrices,
Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories,
Kriging Riemannian Data via Random Domain Decompositions,
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices,
A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging,
Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging,
Wasserstein Regression,
Dynamic Principal Component Analysis in High Dimensions,
Fréchet single index models for object response regression,
Modeling sparse longitudinal data on Riemannian manifolds,
Differential Geometry for Model Independent Analysis of Images and Other Non-Euclidean Data: Recent Developments,
Wasserstein gradients for the temporal evolution of probability distributions,
Intrinsic Riemannian functional data analysis,
Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition,
Fréchet regression for random objects with Euclidean predictors,
Kriging prediction for manifold-valued random fields,
Additive regression for non-Euclidean responses and predictors,
Intrinsic Data Depth for Hermitian Positive Definite Matrices,
Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations,
Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces,
Extrinsic Gaussian processes for regression and classification on manifolds,
Nonparametric analysis of non-Euclidean data on shapes and images,
Bayesian linear size-and-shape regression with applications to face data,
Geodesically Parameterized Covariance Estimation,
Total variation regularized Fréchet regression for metric-space valued data,
A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain,
Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al.,
Predicting precision matrices for color matching problem,
Intrinsic Wavelet Regression for Curves of Hermitian Positive Definite Matrices,
Nonparametric regression in nonstandard spaces,
Scaling-Rotation Distance and Interpolation of Symmetric Positive-Definite Matrices,
Nonparametric regression on Lie groups with measurement errors
