Concurrent object regression
From MaRDI portal
Publication:2161189
DOI10.1214/22-EJS2040zbMath1493.62644arXiv2101.05026MaRDI QIDQ2161189
Satarupa Bhattacharjee, Hans-Georg Müller
Publication date: 4 August 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.05026
fMRIlocal regressionvarying coefficient modelrandom objectsFréchet regressionconcurrent regressiongeneral metric spacemetric-space valued data
Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) General nonlinear regression (62J02) Statistics on metric spaces (62R20)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fréchet regression for random objects with Euclidean predictors
- Peter Hall, functional data analysis and random objects
- Inference for functional data with applications
- Statistical methods with varying coefficient models
- Fréchet means for distributions of persistence diagrams
- Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
- Large sample theory of intrinsic and extrinsic sample means on manifolds. I
- Statistical estimation in varying coefficient models
- Geometry of the space of phylogenetic trees
- Ridge regression for the functional concurrent model
- Varying coefficient model for modeling diffusion tensors along white matter tracts
- Barycentric subspace analysis on manifolds
- Functional concurrent linear regression model for spatial images
- Functional data analysis.
- Large sample theory of intrinsic and extrinsic sample means on manifolds. II.
- A Riemannian framework for tensor computing
- Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis
- Distances and inference for covariance operators
- Inferring stochastic dynamics from functional data
- Overview of object oriented data analysis
- Riemannian $L^{p}$ center of mass: Existence, uniqueness, and convexity
- Varying coefficient models for sparse noise-contaminated longitudinal data
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Smoothing Spline Estimation in Varying-Coefficient Models
- A Geometric study of Wasserstein spaces: Euclidean spaces
- Nonparametric Regression for Spherical Data
- Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data
- Strong laws of large numbers for generalizations of Fréchet mean sets
- Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics
- Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition
- A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain
- Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging
- Functional Varying Coefficient Models for Longitudinal Data
- A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices
- Regression Models on Riemannian Symmetric Spaces
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Gaussian Process Functional Regression Modeling for Batch Data
- Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices
- Functional Data Analysis for Sparse Longitudinal Data
- Functional data analysis for density functions by transformation to a Hilbert space