Cover Image

Identifiability in Unlinked Linear Regression: Some Results and Open Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Balabdaoui, Fadoua, Slawski, Martin, Steffani, Jonathan
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Linear regression with known noise distribution up to a scale: The reward of not using the OLSE
by: Balabdaoui, Fadoua, et al.
Published: (2025)

Semi-supervised learning in unmatched linear regression using an empirical likelihood approach
by: Balabdaoui, Fadoua, et al.
Published: (2026)

Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
by: Balabdaoui, Fadoua, et al.
Published: (2024)

Linear Regression from 1-bit Quantized Data
by: Hill, Daniel, et al.
Published: (2026)

Estimation and convergence rates in the distributional single index model
by: Balabdaoui, Fadoua, et al.
Published: (2023)

Deconvolution in unlinked linear models
by: Balabdaoui, Fadoua, et al.
Published: (2025)

Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions
by: Balabdaoui, Fadoua, et al.
Published: (2025)

Parametric convergence rate of a non-parametric estimator in multivariate mixtures of power series distributions under conditional independence
by: Balabdaoui, Fadoua, et al.
Published: (2025)

Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)

Functional Adaptive Huber Linear Regression
by: Peng, Ling, et al.
Published: (2024)

Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
by: Bettache, Nayel
Published: (2024)

On the Effectiveness of Classical Regression Methods for Optimal Switching Problems
by: Andersson, Martin, et al.
Published: (2025)

Optimal Rates for Functional Linear Regression with General Regularization
by: Gupta, Naveen, et al.
Published: (2024)

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression
by: Lufkin, Leon, et al.
Published: (2024)

Asymptotic Theory for Linear Functionals of Kernel Ridge Regression
by: Tuo, Rui, et al.
Published: (2024)

High-dimensional (Group) Adversarial Training in Linear Regression
by: Xie, Yiling, et al.
Published: (2024)

Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)

On Ridge Estimation in High-dimensional Rotationally Sparse Linear Regression
by: Liang, Libin, et al.
Published: (2024)

Max-Linear Regression by Convex Programming
by: Kim, Seonho, et al.
Published: (2021)

Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)

Transfer Learning and Locally Linear Regression for Locally Stationary Time Series
by: Park, Jinwoo
Published: (2025)

Arithmetic Average Density Fusion -- Part I: Some Statistic and Information-theoretic Results
by: Li, Tiancheng, et al.
Published: (2021)

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

Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)

$p$-adic Linear Regression for Random Sampling with Digitwise Noise
by: Mihara, Tomoki
Published: (2026)

Strong Consistency of the SIMEX Estimator in Linear Regression with a Conditionally Poisson Covariate
by: Yang, Aijun, et al.
Published: (2025)

Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)

Online and Offline Robust Multivariate Linear Regression
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)

Functional Linear Regression of Cumulative Distribution Functions
by: Zhang, Qian, et al.
Published: (2022)

Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)

Some Results on Generalized Familywise Error Rate Controlling Procedures under Dependence
by: Dey, Monitirtha, et al.
Published: (2025)

Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality
by: Bing, Xin, et al.
Published: (2026)

Inference for Projection Parameters in Linear Regression: beyond $d = o(n^{1/2})$
by: Chang, Woonyoung, et al.
Published: (2023)

Asymptotic Results for Penalized Quasi-Likelihood Estimation in Generalized Linear Mixed Models
by: Ning, Xu, et al.
Published: (2024)

Dyson Equation for Correlated Linearizations and Test Error of Random Features Regression
by: Latourelle-Vigeant, Hugo, et al.
Published: (2023)

On the Interpolation Error of Nonlinear Attention versus Linear Regression
by: Liao, Zhenyu, et al.
Published: (2025)

A Unified Graphical Criterion for Characterizing a Linear Causal Interpretation of Partial Regression Coefficients
by: Shimokawa, Masato
Published: (2025)

Proof of The TAP Free Energy for High-Dimensional Linear Regression with Spherical Priors at All Temperatures
by: Yu, Zhiyuan, et al.
Published: (2025)

Uniform Consistency of Generalized Cross-Validation for Ridge Regression in High-Dimensional Misspecified Linear Models
by: Shinkyu, Akira
Published: (2026)