:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Duembgen, Lutz, Davies, Laurie
Format:	Preprint
Published:	2018
Subjects:	Statistics Theory 62J05
Online Access:	https://arxiv.org/abs/1807.09633
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design
by: Tran, Huy, et al.
Published: (2022)

Estimation of a Likelihood Ratio Ordered Family of Distributions
by: Mösching, Alexandre, et al.
Published: (2020)

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

Estimation of ill-conditioned models using penalized sums of squares of the residuals
by: Gómez, Román Salmerón, et al.
Published: (2024)

High-dimensional linear regression inference via $\ell^2$ weak convergence
by: Fujimori, Kou, et al.
Published: (2026)

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

Estimators for multivariate allometric regression model
by: Tsukuda, Koji, et al.
Published: (2024)

Bayes linear estimator in the general linear model
by: Mukasa, Hirai
Published: (2025)

Convergence guarantees for forward gradient descent in the linear regression model
by: Bos, Thijs, et al.
Published: (2023)

Semi-supervised linear regression with missing covariates
by: Risebrow, Benedict M., et al.
Published: (2026)

Can we have it all? Non-asymptotically valid and asymptotically exact confidence intervals for expectations and linear regressions
by: Derumigny, Alexis, et al.
Published: (2025)

Equality between two general ridge estimators and applications in several linear models
by: Mukasa, Hirai
Published: (2026)

Equality between two general ridge estimators and equivalence of their residual sums of squares
by: Mukasa, Hirai, et al.
Published: (2024)

Nonparametric Smoothing of Directional and Axial Data
by: Duembgen, Lutz, et al.
Published: (2025)

A Bayesian approach to functional regression: theory and computation
by: Berrendero, José R., et al.
Published: (2023)

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

Diaconis-Ylvisaker prior penalized likelihood for $p/n \to κ\in (0,1)$ logistic regression
by: Sterzinger, Philipp, et al.
Published: (2023)

An Approximation Based Theory of Linear Regression
by: Davies, Laurie
Published: (2024)

A linear regression model for quantile function data applied to paired pulmonary 3d CT scans
by: Béclin, Marie-Félicia, et al.
Published: (2024)

On the super-efficiency and robustness of the least squares of depth-trimmed regression estimator
by: Zuo, Yijun, et al.
Published: (2025)

Stable convergence of conditional least squares estimators for supercritical continuous state and continuous time branching processes with immigration
by: Barczy, Matyas
Published: (2022)

A symmetric function approach to polynomial regression
by: Herbig, Hans-Christian, et al.
Published: (2024)

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

A stochastic method to estimate a zero-inflated two-part mixed model for human microbiome data
by: Barrera, John, et al.
Published: (2025)

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

Some theoretical foundations for the design and analysis of randomized experiments
by: Shi, Lei, et al.
Published: (2024)

Pattern recovery by SLOPE
by: Bogdan, Małgorzata, et al.
Published: (2022)

Model selection by cross-validation in an expectile linear regression
by: Bousselmi, Bilel, et al.
Published: (2026)

Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
by: Barrera, John, et al.
Published: (2026)

Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models
by: Ali, Alam, et al.
Published: (2024)

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

On regularized polynomial functional regression
by: Holzleitner, Markus, et al.
Published: (2023)

Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
by: Mou, Fuming Lin WEilin
Published: (2025)

Comments on B. Hansen's Reply to "A Comment on: `A Modern Gauss-Markov Theorem'", and Some Related Discussion
by: Pötscher, Benedikt M.
Published: (2024)

A Simplified Condition For Quantile Regression
by: Peng, Liang, et al.
Published: (2025)

Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
by: Lee, Sungyoon, et al.
Published: (2023)

Adaptive estimation in regression models for weakly dependent data and explanatory variable with known density
by: Bertin, Karine, et al.
Published: (2025)

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

Grouping predictors via network-wide metrics
by: Park, Brandon Woosuk, et al.
Published: (2024)

Online jump and kink detection in segmented linear regression: Statistical optimality meets computational efficiency
by: Hüselitz, Annika, et al.
Published: (2025)