Imagen de Portada

Robust Regression with Student's T: The Role of Degrees of Freedom

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ng, Amanda, Zhu, Shangkai, Zhang, Archer Gong, Reid, Nancy
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Semiparametric Approach to Causal Inference
por: Zhang, Archer Gong, et al.
Publicado: (2024)

Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
por: Bernardi, Mauro, et al.
Publicado: (2025)

Degrees of Freedom: Search Cost and Self-consistency
por: Wang, Lijun, et al.
Publicado: (2023)

Degrees of Freedom and Information Criteria for the Synthetic Control Method
por: Pouliot, Guillaume Allaire, et al.
Publicado: (2022)

Robust Mendelian Randomization Estimation using Weighted Quantile Regression
por: St-Pierre, Julien, et al.
Publicado: (2026)

Degrees-of-Freedom Approximations for Conditional-Mean Inference in Random-Lot Stability Analysis
por: Karl, Andrew T., et al.
Publicado: (2026)

An Improved Satterthwaite Effective Degrees of Freedom Correction for Weighted Syntheses of Variance
por: von Davier, Matthias
Publicado: (2025)

Induced replication and the assessment of models
por: Battey, Heather, et al.
Publicado: (2026)

Unified Causality Analysis Based on the Degrees of Freedom
por: Telcs, András, et al.
Publicado: (2024)

Measuring Neural Network Complexity via Effective Degrees of Freedom
por: Zhou, Jia, et al.
Publicado: (2026)

CAIRO: Decoupling Order from Scale in Regression
por: Vanhems, Harri, et al.
Publicado: (2026)

Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
por: von Davier, Matthias
Publicado: (2026)

Resistant convex clustering: How does the fusion penalty enhance resistantance?
por: Sun, Qiang, et al.
Publicado: (2019)

Robust Spatio-Temporal Distributional Regression
por: Momozaki, Tomotaka, et al.
Publicado: (2025)

Causal Spatial Quantile Regression
por: Gong, Yan, et al.
Publicado: (2025)

Double Robust Weighted Regression with Missing Confounders
por: Bagmar, Md. Shaddam Hossain, et al.
Publicado: (2026)

Robust Nonparametric Testing Approaches for Spatial Regression
por: Wi, Kanghyun, et al.
Publicado: (2026)

Stochastic Process-based Method for Degree-Degree Correlation of Evolving Networks
por: Xiao, Yue, et al.
Publicado: (2024)

A Principal Square Response Forward Regression Method for Dimension Reduction
por: Li, Zheng, et al.
Publicado: (2024)

Robust Numerical Methods for Nonlinear Regression
por: Liu, Peng, et al.
Publicado: (2024)

Manipulation-Robust Regression Discontinuity Designs
por: Ishihara, Takuya, et al.
Publicado: (2020)

Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach
por: Zhou, Kaiyuan, et al.
Publicado: (2026)

Sparse Rank Regression for Restricted-Access Economic Data
por: Zhang, Wen, et al.
Publicado: (2026)

Robust Tensor-on-Tensor Regression
por: Hirari, Mehdi, et al.
Publicado: (2026)

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
por: Dukes, Oliver, et al.
Publicado: (2021)

Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
por: Bianco, Ana M., et al.
Publicado: (2024)

Ensemble Doubly Robust Bayesian Inference via Regression Synthesis
por: Babasaki, Kaoru, et al.
Publicado: (2024)

Factor Augmented Matrix Regression
por: Chen, Elynn, et al.
Publicado: (2024)

Synthetic Regressing Control
por: Zhu, Rong J. B.
Publicado: (2023)

Robust inference for matching under rolling enrollment
por: Glazer, Amanda K., et al.
Publicado: (2022)

Transfer Learning for Robust Structured Regression with Bi-level Source Detection
por: Shi, Haoming, et al.
Publicado: (2026)

Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression
por: Lyu, Lingfeng, et al.
Publicado: (2026)

Serial-Dependence and Persistence Robust Inference in Predictive Regressions
por: Pitarakis, Jean-Yves
Publicado: (2025)

Distributed Convoluted Rank Regression for Non-Shareable Data under Non-Additive Losses
por: Zhang, Wen, et al.
Publicado: (2026)

Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
por: Kim, Kaheon, et al.
Publicado: (2026)

Cellwise and Casewise Robust Multivariate Regression with Inference
por: Centofanti, Fabio, et al.
Publicado: (2026)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
por: Zhang, Zhenhao, et al.
Publicado: (2024)

Robust and Sparse Regression in GLM by Stochastic Optimization
por: Kawashima, Takayuki, et al.
Publicado: (2018)

Transfer Learning for High Dimensional Robust Regression
por: Yuan, Xiaohui, et al.
Publicado: (2024)

Robust Local Polynomial Regression with Similarity Kernels
por: Shulman, Yaniv
Publicado: (2025)