Cover Image

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Christina, Xiang, Ding, Jones, Galin L., Rothman, Adam J.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
by: Metodiev, Martin, et al.
Published: (2024)

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

A Projection Approach to Local Regression with Variable-Dimension Covariates
by: Heiner, Matthew J., et al.
Published: (2023)

Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
by: Shan, Jiawei, et al.
Published: (2024)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

An Empirical Bayes Jackknife Regression Framework for Covariance Matrix Estimation
by: Xin, Huqin, et al.
Published: (2024)

Multilevel Regression Modeling of Covariance Matrix Outcomes
by: Green, Michelle Murphy, et al.
Published: (2026)

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

Bayesian Covariance Estimation for Multi-group Matrix-variate Data
by: Bersson, Elizabeth, et al.
Published: (2023)

Covariance Regression based on Basis Expansion
by: Bak, Kwan-Young, et al.
Published: (2025)

Collaborative Design of Controlled Experiments in the Presence of Subject Covariates
by: Fisher, William, et al.
Published: (2024)

Improving Variance Estimation for Covariate Adjustment with Binary Outcomes
by: Lee, Kaitlyn, et al.
Published: (2026)

Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates
by: Bates, Stephen, et al.
Published: (2022)

Nonparametric Regression and Error Covariance Function Estimation -- Beyond Short-Range Dependence
by: Liu, Sisheng, et al.
Published: (2025)

Sparse Multivariate Linear Regression with Strongly Associated Response Variables
by: Ham, Daeyoung, et al.
Published: (2024)

Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates
by: Guha, Subharup, et al.
Published: (2023)

Regression Discontinuity Design with Potentially Many Covariates
by: Arai, Yoichi, et al.
Published: (2021)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Covariate adjustment in randomized experiments with missing outcomes and covariates
by: Zhao, Anqi, et al.
Published: (2023)

Parametric Modal Regression with Error in Covariates
by: Liu, Qingyang, et al.
Published: (2022)

On Asymptotic Outlier Rejection in Bayesian Mixed Poisson Regression Models Under Extreme Target and Covariate Values
by: Pia, Ilaria, et al.
Published: (2026)

The Cellwise Minimum Covariance Determinant Estimator
by: Raymaekers, Jakob, et al.
Published: (2022)

Bayesian Covariance Structure Modeling of Multi-Way Nested Data
by: Baas, Stef, et al.
Published: (2022)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
by: Tang, Wenze, et al.
Published: (2022)

Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
by: Yao, Tsung-Hung, et al.
Published: (2024)

Stochastic Block Covariance Matrix Estimation
by: Chen, Yunran, et al.
Published: (2025)

Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)

Robust Distance Covariance
by: Leyder, Sarah, et al.
Published: (2024)

Covariance Estimation for Matrix-variate Data via Fixed-rank Core Covariance Geometry
by: Sung, Bongjung
Published: (2025)

Covariance-Driven Regression Trees: Reducing Overfitting in CART
by: Zhang, Likun, et al.
Published: (2026)

Covariance-Corrected WAIC for Bayesian Sequential Data Models
by: Kadhem, Safaa K.
Published: (2025)

Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)

Low-rank Covariate Balancing Estimators under Interference
by: Sengupta, Souhardya, et al.
Published: (2025)

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

Bayesian Covariate-Varying Interaction Analysis for Multivariate Count Data: Application to Microbiome Studies
by: Zhang, Shuangjie, et al.
Published: (2026)

Spectral Clustering on Multilayer Networks with Covariates
by: Zhao, Da, et al.
Published: (2025)

Deep Regression for Repeated Measurements under Covariate Shift
by: Wang, Yingxuan, et al.
Published: (2026)

A Bayesian INLA-SPDE Approach to Spatio-Temporal Point-Grid Fusion with Change-of-Support and Misaligned Covariates
by: Zheng, Weiyue, et al.
Published: (2025)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)