Wasserstein \(F\)-tests and confidence bands for the Fréchet regression of density response curves
DOI10.1214/20-AOS1971zbMath1461.62118arXiv1910.13418OpenAlexW3127173256MaRDI QIDQ2656610
Afshin A. Divani, Alexander Petersen, Xi Liu
Publication date: 11 March 2021
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.13418
Wasserstein metricleast squares regressionsimultaneous confidence bandrandom densitiestests for regression effects
Asymptotic properties of parametric estimators (62F12) Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) General nonlinear regression (62J02) Asymptotic properties of parametric tests (62F05)
Related Items (6)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Simplicial principal component analysis for density functions in Bayes spaces
- Fréchet regression for random objects with Euclidean predictors
- Amplitude and phase variation of point processes
- From sparse to dense functional data and beyond
- Central limit theorems for Fréchet means in the space of phylogenetic trees
- Geodesic PCA in the Wasserstein space by convex PCA
- The function-on-scalar LASSO with applications to longitudinal GWAS
- Statistical methods with varying coefficient models
- Functional density synchronization
- Diagnostics for functional regression via residual processes
- Classifying densities using functional regression trees: applications in oceanology
- Bootstrap confidence bands for regression curves and their derivatives
- Compositional regression with functional response
- Weak convergence and empirical processes. With applications to statistics
- Optimal transportation with infinitely many marginals
- Geodesic regression and the theory of least squares on Riemannian manifolds
- Hilbert space of probability density functions based on Aitchison geometry
- Synthesis of variance
- Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis
- Simultaneous inference for the mean function based on dense functional data
- Overview of object oriented data analysis
- Simultaneous confidence bands for nonparametric regression with functional data
- Barycenters in the Wasserstein Space
- Nonparametric Statistical Data Modeling
- Confidence Bands in Nonparametric Regression
- Regression Analysis for a Functional Response
- Inference for Density Families Using Functional Principal Component Analysis
- Principal Flows
- Fréchet analysis of variance for random objects
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Regression Models on Riemannian Symmetric Spaces
- Functional data analysis for density functions by transformation to a Hilbert space
This page was built for publication: Wasserstein \(F\)-tests and confidence bands for the Fréchet regression of density response curves