Cover Image

On the super-efficiency and robustness of the least squares of depth-trimmed regression estimator

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zuo, Yijun, Zuo, Hanwen
Format:	Preprint
Published:	2025
Subjects:	Applications Primary 62J05, 62G36, Secondary 62J99, 62G99
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large sample behavior of the least trimmed squares estimator
by: Zuo, Yijun
Published: (2022)

Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025)

Exchangeable Gaussian Processes for Staggered-Adoption Policy Evaluation
by: Gevorgyan, Hayk, et al.
Published: (2026)

Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)

Log Heston Model for Monthly Average VIX
by: Park, Jihyun, et al.
Published: (2024)

Optimal linear prediction with functional observations: Why you can use a simple post-dimension reduction estimator
by: Seo, Won-Ki
Published: (2024)

friends.test: rank-based method for feature selection in interaction matrices
by: Suvorikova, Alexandra, et al.
Published: (2025)

New explanations and inference for least angle regression
by: Gregory, Karl B., et al.
Published: (2026)

Efficient Shapley Performance Attribution for Least-Squares Regression
by: Bell, Logan, et al.
Published: (2023)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)

Choosing observation operators to mitigate model error in Bayesian inverse problems
by: Cvetković, Nada, et al.
Published: (2023)

A Note on NBUE and NWBUE Classes of Life Distributions
by: Anis, M. Z.
Published: (2026)

A two-way heterogeneity model for dynamic networks
by: Jiang, Binyan, et al.
Published: (2023)

Poisson Regression in one Covariate on Massive Data
by: Reuter, Torsten, et al.
Published: (2024)

A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
by: Takeshita, Jun-ichi, et al.
Published: (2020)

Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)

Evaluating Randomness Assumption: A Novel Graph Theoretic Approach
by: Gehlot, Shriya, et al.
Published: (2025)

Quadratic inference with dense functional responses
by: Niyogi, Pratim Guha, et al.
Published: (2024)

Projection predictive variable selection for discrete response families with finite support
by: Weber, Frank, et al.
Published: (2023)

Least squares estimation of the transition density in bifurcating Markov models
by: Penda, S. Valère Bitseki
Published: (2025)

Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
by: Dey, Debangan, et al.
Published: (2022)

New Tests of Randomness for Circular Data
by: Gehlot, Shriya, et al.
Published: (2025)

Moderation effects and elasticities in compositional regression with a total. Application to Bayesian spatiotemporal modelling of all-cause mortality from environmental stressors
by: Coenders, Germà, et al.
Published: (2025)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Projection depth for functional data: Theoretical properties
by: Bočinec, Filip, et al.
Published: (2025)

Group Permutation Testing in Linear Model: Sharp Validity, Power Improvement, and Extension Beyond Exchangeability
by: Li, Zonghan, et al.
Published: (2026)

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2022)

Projection depth for functional data: Practical issues, computation and applications
by: Bočinec, Filip, et al.
Published: (2026)

Extended-support beta regression for $[0, 1]$ responses
by: Kosmidis, Ioannis, et al.
Published: (2024)

Adapting Altman's bankruptcy prediction model to the compositional data methodology
by: Keivani, Fatemeh, et al.
Published: (2026)

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
by: Imberg, Henrik, et al.
Published: (2022)

Proper Correlation Coefficients for Nominal Random Variables
by: Wermuth, Jan-Lukas
Published: (2025)

Unifying small area estimators based on area-level and unit-level models through calibration
by: Acero, William, et al.
Published: (2024)

Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
by: Dai, Yufang, et al.
Published: (2026)

Sparse maximum likelihood estimation for regression models
by: Tsao, Min
Published: (2024)

Tuning free Catoni type joint robust estimation
by: Li, Xiang, et al.
Published: (2025)

Strategic Play and Home Advantage: Coaches' Tactical Impact in Serie A
by: Angelini, Francesco, et al.
Published: (2025)

A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression
by: Liland, Kristian Hovde, et al.
Published: (2022)

River flow modelling using nonparametric functional data analysis
by: Quintela-del-Río, Alejandro, et al.
Published: (2024)

Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)