Cover Image

Robust inference for linear regression models with possibly skewed error distribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nandy, Amarnath, Basu, Ayanendranath, Ghosh, Abhik
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Rank Estimation for Noisy Matrices
by: Roy, Subhrajyoty, et al.
Published: (2025)

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)

Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
by: Saraceno, Giovanni, et al.
Published: (2020)

rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm
by: Roy, Subhrajyoty, et al.
Published: (2021)

A Componentwise Estimation Procedure for Multivariate Location and Scatter: Robustness, Efficiency and Scalability
by: Chakraborty, Soumya, et al.
Published: (2024)

Robust Inference for Non-Linear Regression Models with Applications in Enzyme Kinetics
by: Jana, Suryasis, et al.
Published: (2024)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

Robust distribution-free tests for the linear model
by: Hilbert, Torey, et al.
Published: (2024)

Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)

Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)

Hazard-based distributional regression via ordinary differential equations
by: Christen, J. A., et al.
Published: (2025)

Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)

Robust inference for the unification of confidence intervals in meta-analysis
by: Liang, Wei, et al.
Published: (2024)

Valid F-screening in linear regression
by: McGough, Olivia, et al.
Published: (2025)

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
by: Ouyang, Yongdong, et al.
Published: (2023)

Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)

Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)

The effect of collinearity and sample size on linear regression results: a simulation study
by: van der Lubbe, Stephanie CC, et al.
Published: (2026)

The ultimate issue error in scientific inference: mistaking parameters for hypotheses
by: Lazic, Stanley E.
Published: (2024)

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)

A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)

High-dimensional log contrast models with measurement errors
by: Tan, Wenxi, et al.
Published: (2024)

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)

Modi linear failure rate distribution with application to survival time data
by: Benkhelifa, Lazhar
Published: (2025)

Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)

High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions
by: Xue, Fei, et al.
Published: (2023)

A marginalized three-part interrupted time series regression model for proportional data
by: Ye, Shangyuan, et al.
Published: (2022)

Exponential family measurement error models for single-cell CRISPR screens
by: Barry, Timothy, et al.
Published: (2022)

A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)

Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)

Addressing errors in multiple variables using generalized raking and cumulative probability models
by: Kawaguchi, Eric S., et al.
Published: (2026)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
by: Sasaki, Kotaro, et al.
Published: (2026)

Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
by: Chan, Christian, et al.
Published: (2024)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)