Cover Image

Data depth functions for non-standard data by use of formal concept analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Blocher, Hannah, Schollmeyer, Georg
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
by: Jansen, Christoph, et al.
Published: (2023)

Union-Free Generic Depth for Non-Standard Data
by: Blocher, Hannah, et al.
Published: (2024)

On standardness and the non-estimability of certain functionals of a set
by: Cholaquidis, Alejandro, et al.
Published: (2023)

Comparing Machine Learning Algorithms by Union-Free Generic Depth
by: Blocher, Hannah, et al.
Published: (2023)

Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms
by: Blocher, Hannah, et al.
Published: (2023)

Theory of functional principal component analysis for discretely observed data
by: Zhou, Hang, et al.
Published: (2022)

Can the $L^1$-$L^\infty$ duality be restored for non-dominated families of probability measures?
by: Klein, Irene, et al.
Published: (2026)

Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)

Statistical depth and support medians for fuzzy data
by: La Fuente, Luis González-De, et al.
Published: (2023)

Statistical Multicriteria Benchmarking via the GSD-Front
by: Jansen, Christoph, et al.
Published: (2024)

From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective
by: Guo, Shaojun, et al.
Published: (2023)

Q statistics in data depth: fundamental theory revisited and variants
by: Gao, Min, et al.
Published: (2024)

Functional knockoffs selection with applications to functional data analysis in high dimensions
by: Qiao, Xinghao, et al.
Published: (2024)

Asymptotics for M-type smoothing splines with non-smooth objective functions
by: Kalogridis, Ioannis
Published: (2020)

Estimating non-linear functionals of trawl processes
by: Sauri, Orimar
Published: (2025)

Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic
by: Formica, M. R., et al.
Published: (2024)

Sampling depth trade-off in function estimation under a two-level design
by: Horiguchi, Akira, et al.
Published: (2023)

Inverse regression for spatially distributed functional data
by: Chatla, Suneel Babu, et al.
Published: (2024)

Statistical methods: Basic concepts, interpretations, and cautions
by: Greenland, Sander
Published: (2025)

Revisiting poverty measures using quantile functions
by: Nair, N. Unnikrishnan, et al.
Published: (2025)

Projection depth and $L^r$-type depths for fuzzy random variables
by: La Fuente, Luis González-De, et al.
Published: (2023)

Bias Reduction for nonparametric Estimators applied to functional Data Analysis
by: Birke, Melanie, et al.
Published: (2025)

Non-standard boundary behaviour in two-component mixture models
by: Battey, Heather, et al.
Published: (2024)

Gold standard process Markovian poisoning: a semiparametric approach
by: Lacour, Claire, et al.
Published: (2026)

Generalized van Trees inequality: Local minimax bounds for non-smooth functionals and irregular statistical models
by: Takatsu, Kenta, et al.
Published: (2024)

On the stability of filtration functions for dependent data with applications to break detection
by: Krebs, Johannes, et al.
Published: (2023)

Smooth and rough paths in mean derivative estimation for functional data
by: Berger, Max, et al.
Published: (2025)

Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
by: Reding, Lucas, et al.
Published: (2024)

Fusion regression methods with repeated functional data
by: Moindjié, Issam-Ali, et al.
Published: (2023)

Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)

Gaussian quasi-likelihood analysis for non-Gaussian linear mixed-effects model with system noise
by: Imamura, Takumi, et al.
Published: (2024)

Quantitative analysis of non-exchangeability in bivariate copulas: Sharp bounds, statistical tests and mixing constructions
by: Úbeda-Flores, Manuel
Published: (2026)

Covariate-informed reconstruction of partially observed functional data via factor models
by: Ofner, Maximilian, et al.
Published: (2023)

$β$-integrated local depth and corresponding partitioned local depth representation
by: Wang, Siyi, et al.
Published: (2025)

Bias robustness of depth estimators in multivariate settings
by: Adrover, Jorge G., et al.
Published: (2025)

Multiple change point detection in functional data with applications to biomechanical fatigue data
by: Bastian, Patrick, et al.
Published: (2023)

Sharp oracle inequalities and universality of the AIC and FPE
by: Jirak, Moritz, et al.
Published: (2024)

General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data
by: Aubert, Julien, et al.
Published: (2024)

A flexible control function approach for survival data subject to different types of censoring
by: Willems, Ilias, et al.
Published: (2024)

On the supremum and its location of the standardized uniform empirical process
by: Ferger, Dietmar
Published: (2025)