Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
Fuente:
arXiv
Saved in:
| Main Authors: | Singha, Sibsankar, Kratz, Marie, Vadlamani, Sreekar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extreme Geometric Quantiles Under Minimal Assumptions, with a Connection to Tukey Depth
by: Singha, Sibsankar, et al.
Published: (2026)
by: Singha, Sibsankar, et al.
Published: (2026)
Comparing Multivariate Distributions: A Novel Approach Using Optimal Transport-based Plots
by: Singha, Sibsankar, et al.
Published: (2024)
by: Singha, Sibsankar, et al.
Published: (2024)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025)
by: Gharbi, Rihab, et al.
Published: (2025)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Efficient adjustment for complex covariates: Gaining efficiency with DOPE
by: Christgau, Alexander Mangulad, et al.
Published: (2024)
by: Christgau, Alexander Mangulad, et al.
Published: (2024)
Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
by: Mancer, Saida, et al.
Published: (2025)
by: Mancer, Saida, et al.
Published: (2025)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
by: Gili, Francesco, et al.
Published: (2026)
by: Gili, Francesco, et al.
Published: (2026)
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
Measuring Extreme Tail Association
by: Das, Bikramjit, et al.
Published: (2026)
by: Das, Bikramjit, et al.
Published: (2026)
Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Decompounding Under General Mixing Distributions
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Asymptotic Behavior of Principal Component Projections for Multivariate Extremes
by: Drees, Holger
Published: (2025)
by: Drees, Holger
Published: (2025)
Wasserstein Spatial Depth
by: Bachoc, François, et al.
Published: (2024)
by: Bachoc, François, et al.
Published: (2024)
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)
by: Hoang, Van Ha, et al.
Published: (2025)
Estimation of the invariant measure of a multidimensional diffusion from noisy observations
by: Maillet, Raphaël, et al.
Published: (2024)
by: Maillet, Raphaël, et al.
Published: (2024)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)
by: Belzile, Léo R., et al.
Published: (2025)
Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)
by: Banerjee, Trambak, et al.
Published: (2020)
Tighter confidence intervals for quantiles of heterogeneous data
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
On the Bernstein-smoothed lower-tail Spearman's rho estimator
by: Ouimet, Frédéric, et al.
Published: (2025)
by: Ouimet, Frédéric, et al.
Published: (2025)
Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
by: Jana, Soham, et al.
Published: (2022)
by: Jana, Soham, et al.
Published: (2022)
Automatic and location-adaptive estimation in functional single-index regression
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
A uniform kernel trick for high-dimensional two-sample problems
by: Cárcamo, Javier, et al.
Published: (2022)
by: Cárcamo, Javier, et al.
Published: (2022)
Adaptation using spatially distributed Gaussian Processes
by: Szabo, Botond, et al.
Published: (2023)
by: Szabo, Botond, et al.
Published: (2023)
Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models
by: Liu, Ruiqi, et al.
Published: (2023)
by: Liu, Ruiqi, et al.
Published: (2023)
Insights into Tail-Based and Order Statistics
by: Almani, Hamidreza Maleki
Published: (2025)
by: Almani, Hamidreza Maleki
Published: (2025)
A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)
by: Bertin, Karine, et al.
Published: (2023)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, et al.
Published: (2025)
Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
by: Cabral, Rafael, et al.
Published: (2024)
by: Cabral, Rafael, et al.
Published: (2024)
Adaptive estimation of $\mathbb{L}_2$-norm of a probability density and related topics I. Lower bounds
by: Cleanthous, Galatia, et al.
Published: (2024)
by: Cleanthous, Galatia, et al.
Published: (2024)
Heavy-tailed Bayesian nonparametric adaptation
by: Agapiou, Sergios, et al.
Published: (2023)
by: Agapiou, Sergios, et al.
Published: (2023)
Adaptive estimation of the $\mathbb{L}_2$-norm of a probability density and related topics II. Upper bounds via the oracle approach
by: Cleanthous, Galatia, et al.
Published: (2024)
by: Cleanthous, Galatia, et al.
Published: (2024)
IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)
by: Jordanova, Pavlina, et al.
Published: (2025)
Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2025)
by: Gili, Francesco, et al.
Published: (2025)
Asymptotically efficient estimation under local constraint in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2024)
by: Gili, Francesco, et al.
Published: (2024)
Similar Items
-
Extreme Geometric Quantiles Under Minimal Assumptions, with a Connection to Tukey Depth
by: Singha, Sibsankar, et al.
Published: (2026) -
Comparing Multivariate Distributions: A Novel Approach Using Optimal Transport-based Plots
by: Singha, Sibsankar, et al.
Published: (2024) -
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024) -
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025) -
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)