A depth-based global envelope test for comparing two groups of functions with applications to biomedical data
From MaRDI portal
Publication:6627690
DOI10.1002/sim.8861zbMATH Open1546.62499WikidataQ104788315 ScholiaQ104788315MaRDI QIDQ6627690
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Multivariate functional outlier detection
- On data depth in infinite dimensional spaces
- A half-region depth for functional data
- On a notion of data depth based on random simplices
- Robust estimation and classification for functional data via projection-based depth notions
- On the use of the bootstrap for estimating functions with functional data
- Depth-based inference for functional data
- Descriptive statistics for multivariate distributions
- Zonoid trimming for multivariate distributions
- Projection-based depth functions and associated medians
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- On a general definition of depth for functional data
- General notions of statistical depth function.
- Trimmed means for functional data
- Simplicial band depth for multivariate functional data
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- On a Geometric Notion of Quantiles for Multivariate Data
- The multivariate L 1 -median and associated data depth
- Regression Depth
- A Quality Index Based on Data Depth and Multivariate Rank Tests
- Corrected Confidence Bands for Functional Data Using Principal Components
- Depth Measures for Multivariate Functional Data
- Multivariate Functional Halfspace Depth
- On the Concept of Depth for Functional Data
- Global Envelope Tests for Spatial Processes
- Functional Data Analysis for Sparse Longitudinal Data
- Exact fast computation of band depth for large functional datasets: how quickly can one million curves be ranked?
- Robust non-parametric tests for imaging data based on data depth
Related Items (2)
New methods for multiple testing in permutation inference for the general linear model ⋮ Comment on ``A depth-based global envelope test for comparing two groups of functions with applications to biomedical data by S. Lopez-Pintado and K. Qian
This page was built for publication: A depth-based global envelope test for comparing two groups of functions with applications to biomedical data