Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Tukey’s Depth for Object Data - MaRDI portal

Tukey’s Depth for Object Data (Q6077569)

From MaRDI portal

Jump to:navigation, search

scientific article; zbMATH DE number 7751806

Language	Label	Description	Also known as
English	Tukey’s Depth for Object Data	scientific article; zbMATH DE number 7751806

Statements

scholarly article

0 references

Tukey’s Depth for Object Data (English)

0 references

0 references

Sara López-Pintado

0 references

Journal of the American Statistical Association

0 references

publication date

18 October 2023

0 references

full work available at URL

https://arxiv.org/abs/2109.00493

0 references

zbMATH Keywords

data depth

0 references

nonparametric statistics

0 references

ranks

0 references

robust inference

0 references

MaRDI profile type

MaRDI publication profile

0 references

Large sample theory of intrinsic and extrinsic sample means on manifolds. II.

0 references

Geometry of the space of phylogenetic trees

0 references

Modeling and Inference for Measured Crystal Orientations and a Tractable Class of Symmetric Distributions for Rotations in Three Dimensions

0 references

Approximate calculation of Tukey's depth and median with high-dimensional data

0 references

On 64%-Majority Rule

0 references

A characterization of halfspace depth

0 references

Intrinsic Data Depth for Hermitian Positive Definite Matrices

0 references

Robust covariance and scatter matrix estimation under Huber's contamination model

0 references

A nonparametric multivariate multisample test based on data depth

0 references

Principal component analysis for functional data on Riemannian manifolds and spheres

0 references

Modeling sparse longitudinal data on Riemannian manifolds

0 references

Breakdown properties of location estimates based on halfspace depth and projected outlyingness

0 references

Statistical Shape Analysis, with Applications in R

0 references

Exact computation of the halfspace depth

0 references

Bridging centrality and extremity: refining empirical data depth using extreme value statistics

0 references

A smeary central limit theorem for manifolds with application to high-dimensional spheres

0 references

Torus principal component analysis with applications to RNA structure

0 references

Statistics on stratified spaces

0 references

Nonparametric statistics of dynamic networks with distinguishable nodes

0 references

Connecting pairwise geodesic spheres by depth: DCOPS

0 references

Trimmed means for functional data

0 references

0 references

Averages of unlabeled networks: geometric characterization and asymptotic behavior

0 references

Introduction to Riemannian Manifolds

0 references

<i>DD</i>-Classifier: Nonparametric Classification Procedure Based on<i>DD</i>-Plot

0 references

On a notion of data depth based on random simplices

0 references

A Quality Index Based on Data Depth and Multivariate Rank Tests

0 references

Finite sample breakdown point of Tukey's halfspace median

0 references

On the Concept of Depth for Functional Data

0 references

Overview of object oriented data analysis

0 references

Asymptotics for the Tukey depth process, with an application to a multivariate trimmed mean

0 references

Principal component analysis and the locus of the Fréchet mean in the space of phylogenetic trees

0 references

Descriptive statistics for multivariate distributions

0 references

Halfspace depths for scatter, concentration and shape matrices

0 references

Distance‐based depths for directional data

0 references

Regression Depth

0 references

Measures of centrality for multivariate and directional distributions

0 references

Multidimensional medians arising from geodesics on graphs

0 references

0 references

Weak convergence and empirical processes. With applications to statistics

0 references

Some special Vapnik-Chervonenkis classes

0 references

Globally convergent optimization algorithms on Riemannian manifolds: Uniform framework for unconstrained and constrained optimization

0 references

A new approach for the computation of halfspace depth in high dimensions

0 references

Large sample properties of the regression depth induced median

0 references

On general notions of depth for regression

0 references

General notions of statistical depth function.

0 references

Identifiers

0 references

10.1080/01621459.2021.2011298

0 references

Mathematics Subject Classification ID

0 references

zbMATH DE Number

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6077569

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Item:Q6077569&oldid=37568525"