:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Lei, Liu, Chengyue, Wang, Li
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2601.10049
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

Sensitivity of weighted least squares estimators to omitted variables
by: Wainstein, Leonard, et al.
Published: (2025)

Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in estimating the mean squared error of the least squares estimator in linear regression
by: Stolte, Marieke, et al.
Published: (2023)

Constrained least squares simplicial-simplicial regression
by: Tsagris, Michail
Published: (2024)

A least distance estimator for a multivariate regression model using deep neural networks
by: Shin, Jungmin, et al.
Published: (2024)

Envelope-based partial least squares in functional regression
by: Wu, Minxuan, et al.
Published: (2025)

A penalized least squares estimator for extreme-value mixture models
by: Mourahib, Anas, et al.
Published: (2025)

Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)

Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)

Scalable approximation of the transformation-free linear simplicial-simplicial regression via constrained iterative reweighted least squares
by: Tsagris, Michail, et al.
Published: (2025)

A constrained iteratively-reweighted least-squares framework for generalised linear models
by: Masselot, Pierre, et al.
Published: (2025)

Recent advances in doubly-robust weighted ordinary least squares techniques for dynamic treatment regime estimation
by: Nadi, Adel Ahmadi, et al.
Published: (2025)

Ridge-penalised spectral least-squares estimation for point processes
by: Herrera, Miguel Martinez, et al.
Published: (2026)

Multivariate moment least-squares estimators for reversible Markov chains
by: Song, Hyebin, et al.
Published: (2023)

Phylogenetic least squares estimation without genetic distances
by: Chi, Peter B., et al.
Published: (2023)

Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)

Semi-parametric least-area linear-circular regression through Möbius transformation
by: Biswas, Surojit, et al.
Published: (2024)

Identifiability and improper solutions in the probabilistic partial least squares regression with unique variance
by: Arai, Takashi
Published: (2025)

Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)

Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
by: Otto, Arnoldus F., et al.
Published: (2025)

Functional regression with multivariate responses
by: Luo, Ruiyan, et al.
Published: (2026)

Augmented balancing weights as linear regression
by: Bruns-Smith, David, et al.
Published: (2023)

Unbiased least squares regression via averaged stochastic gradient descent
by: Kahalé, Nabil
Published: (2024)

Generalised least squares approach for estimation of the log-law parameters of turbulent boundary layers
by: Ferreira, M. Aguiar, et al.
Published: (2026)

Potential weights and implicit causal designs in linear regression
by: Chen, Jiafeng
Published: (2024)

Renewable estimation in linear expectile regression models with streaming data sets
by: Cao, Wei, et al.
Published: (2026)

Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
by: Young, Elliot H., et al.
Published: (2024)

A multivariate spatial regression model using signatures
by: Frévent, Camille, et al.
Published: (2024)

Piecewise-linear modeling of multivariate geometric extremes
by: Campbell, Ryan, et al.
Published: (2024)

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

Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneity
by: Zhao, Anqi, et al.
Published: (2025)

Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
by: Miao, Xin, et al.
Published: (2025)

Cholesky-based multivariate Gaussian regression
by: Muschinski, Thomas, et al.
Published: (2021)

Numerically robust square root implementations of statistical linear regression filters and smoothers
by: Tronarp, Filip
Published: (2024)

Contrastive linear regression
by: Zhang, Boyang, et al.
Published: (2024)

Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model
by: Aanes, Fredrik Lohne
Published: (2025)

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

Convex estimation of Gaussian graphical regression models with covariates
by: Liu, Ruobin, et al.
Published: (2024)

Asymptotic linear dependence and ellipse statistics for multivariate two-sample homogeneity test
by: Shen, Chifeng, et al.
Published: (2025)