:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Basu, Rupsa, Otto, Sven
Formato:	Preprint
Publicado:	2026
Materias:	Methodology Statistics Theory
Acceso en línea:	https://arxiv.org/abs/2602.13152
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fatigue detection via sequential testing of biomechanical data using martingale statistic
por: Basu, Rupsa, et al.
Publicado: (2023)

Multiple change point detection in functional data with applications to biomechanical fatigue data
por: Bastian, Patrick, et al.
Publicado: (2023)

Monitoring Time Series for Relevant Changes
por: Bastian, Patrick, et al.
Publicado: (2025)

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

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

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

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

Rectified Linear Unit Regression
por: Oka, Tatsushi
Publicado: (2026)

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
por: Montanari, Andrea, et al.
Publicado: (2024)

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

Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates
por: Li, Xinyi, et al.
Publicado: (2025)

Estimation and Inference for Change Points in Functional Regression Time Series
por: Kumar, Shivam, et al.
Publicado: (2024)

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

Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
por: Zheng, Dian, et al.
Publicado: (2025)

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

Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
por: Wang, Peng, et al.
Publicado: (2022)

Finite-Sample Inference for Sparsely Permuted Linear Regression
por: Ota, Hirofumi, et al.
Publicado: (2026)

G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
por: Lee, Inbeom, et al.
Publicado: (2025)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
por: Reichel, Felix
Publicado: (2025)

Estimating the Partially Linear Zero-Inflated Poisson Regression Model: a Robust Approach Using a EM-like Algorithm
por: Llop, María José, et al.
Publicado: (2026)

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
por: Guo, Xingche, et al.
Publicado: (2023)

Application of Random Matrix Theory in High-Dimensional Statistics
por: Bhattacharyya, Swapnaneel, et al.
Publicado: (2024)

Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
por: Li, Ting, et al.
Publicado: (2026)

Asymptotic Inference for Constrained Regression
por: Sankaranarayanan, Madhav, et al.
Publicado: (2025)

Distribution-in-distribution-out Regression
por: Chen, Xiaoyu, et al.
Publicado: (2024)

Differentially Private Inference for Longitudinal Linear Regression
por: Sopa, Getoar, et al.
Publicado: (2026)

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

Correcting the Coverage Bias of Quantile Regression
por: Gibbs, Isaac, et al.
Publicado: (2025)

Covariance Regression with High-Dimensional Predictors
por: He, Yuheng, et al.
Publicado: (2024)

Online Quantile Regression
por: Shen, Yinan, et al.
Publicado: (2024)

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

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

Direct Bayesian Regression for Distribution-valued Covariates
por: Tang, Bohao, et al.
Publicado: (2023)

Bayesian Quantile Estimation and Regression with Martingale Posteriors
por: Fong, Edwin, et al.
Publicado: (2024)

Multiscale Quantile Regression with Local Error Control
por: Liu, Zhi, et al.
Publicado: (2024)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
por: Fang, Qin, et al.
Publicado: (2025)

Regression Adjustments for Double Randomization in Two-Sided Marketplaces
por: Sudijono, Timothy, et al.
Publicado: (2026)

Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
por: Ng, Tin Lok James, et al.
Publicado: (2025)

A Nonparametric Maximum Likelihood Approach to Mixture of Regression
por: Jiang, Hansheng, et al.
Publicado: (2021)

Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
por: Ashley, et al.
Publicado: (2024)