Cover Image

Regularized Halfspace Depth for Functional Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yeon, Hyemin, Dai, Xiongtao, Lopez-Pintado, Sara
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional regularized halfspace depth for sparse functional data and its applications
by: Yeon, Hyemin, et al.
Published: (2026)

Gaussian and bootstrap approximations for functional principal component regression
by: Yeon, Hyemin
Published: (2026)

Inference for function-on-function regression: central limit theorem and residual bootstrap
by: Yeon, Hyemin
Published: (2026)

Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
by: Yeon, Hyemin, et al.
Published: (2023)

Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
by: Singha, Sibsankar, et al.
Published: (2025)

Functional Data Representation with Merge Trees
by: Pegoraro, Matteo, et al.
Published: (2021)

Equivalence Test for Mean Functions from Multi-population Functional Data
by: Xu, Chuang, et al.
Published: (2025)

Effective Sample Size for Functional Spatial Data
by: Alegría, Alfredo, et al.
Published: (2026)

Does PCA Work for Rough Functional Data?
by: Kutta, Tim, et al.
Published: (2026)

Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)

Functional Data-Driven Quantile Model Averaging with Application to Cryptocurrencies
by: Xu, Wenchao, et al.
Published: (2023)

Regularized zero-inflated Bernoulli regression model
by: Ndoye, Mouhamed, et al.
Published: (2025)

Simultaneous Confidence Bands for Functional Data Using the Gaussian Kinematic Formula
by: Telschow, Fabian J. E., et al.
Published: (2019)

The Exact Risks of Reference Panel-based Regularized Estimators
by: Su, Buxin, et al.
Published: (2024)

Survey Data Integration for Distribution Function Estimation
by: Flood, Jeremy, et al.
Published: (2024)

Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)

Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
by: Yang, Letian, et al.
Published: (2024)

Nonparametric Estimation via Partial Derivatives
by: Dai, Xiaowu
Published: (2022)

Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
by: You, Hojun, et al.
Published: (2022)

Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
by: Oesting, Marco, et al.
Published: (2020)

Regularized Bidimensional Estimation of the Hazard Rate
by: Goepp, Vivien, et al.
Published: (2018)

Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)

A New Class of Asymptotically Distribution-Free Smooth Tests
by: Zhang, Xiangyu, et al.
Published: (2025)

Fully Functional Weighted Testing for Abrupt and Gradual Location Changes in Functional Time Series
by: Kirch, Claudia, et al.
Published: (2026)

Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
by: Fang, Qin, et al.
Published: (2024)

Causal Effect of Functional Treatment
by: Tan, Ruoxu, et al.
Published: (2022)

Flexible Functional Treatment Effect Estimation
by: Wang, Jiayi, et al.
Published: (2023)

Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)

Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)

Detecting Parameter Instabilities in Functional Concurrent Linear Regression
by: Basu, Rupsa, et al.
Published: (2026)

Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)

Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
by: Chang, Woonyoung, et al.
Published: (2026)

Dynamic Treatment Effects under Functional Longitudinal Studies
by: Ying, Andrew
Published: (2024)

Regularized e-processes: anytime valid inference with knowledge-based efficiency gains
by: Martin, Ryan
Published: (2024)

Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)

Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)

Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets
by: Dale, Reid, et al.
Published: (2025)

Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
by: Sartini, Joseph, et al.
Published: (2026)

Hypothesis Testing for a Functional Parameter via Self-normalization
by: Zhang, Yi, et al.
Published: (2026)

Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025)