Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
Fuente:
arXiv
Saved in:
| Main Authors: | Pal, Samhita, Ghoshal, Subhashis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian High-dimensional Grouped-regression using Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)
by: Pal, Samhita, et al.
Published: (2024)
Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
by: Roy, Arkaprava, et al.
Published: (2024)
by: Roy, Arkaprava, et al.
Published: (2024)
Bayesian Inference for High-dimensional Time Series with a Stationary Directed Acyclic Graphical Structure
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Coverage of Credible Sets for Regression under Variable Selection
by: Pal, Samhita, et al.
Published: (2024)
by: Pal, Samhita, et al.
Published: (2024)
Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)
by: Parzer, Roman, et al.
Published: (2023)
Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)
by: Liu, Guo
Published: (2026)
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)
by: Tan, Falong, et al.
Published: (2024)
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)
by: Ojha, Abhishek, et al.
Published: (2024)
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by: Montanari, Andrea, et al.
Published: (2024)
by: Montanari, Andrea, et al.
Published: (2024)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
Relational Graph in Vector Autoregression: A Case Study on the Effect of the Great Recession on Connectivity of Economic Indicators
by: Roy, Arkaprava, et al.
Published: (2024)
by: Roy, Arkaprava, et al.
Published: (2024)
Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)
by: Ota, Hirofumi, et al.
Published: (2026)
Debiased Bayesian Inference for High-dimensional Regression Models
by: Chen, Qihui, et al.
Published: (2025)
by: Chen, Qihui, et al.
Published: (2025)
Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
by: Sartini, Joseph, et al.
Published: (2026)
by: Sartini, Joseph, et al.
Published: (2026)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Bayesian Conformal-Projective Prediction
by: Roy, Arkaprava, et al.
Published: (2026)
by: Roy, Arkaprava, et al.
Published: (2026)
Resampling-free Inference for Time Series via RKHS Embedding
by: Ghoshal, Deep, et al.
Published: (2026)
by: Ghoshal, Deep, et al.
Published: (2026)
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Direct Bayesian Regression for Distribution-valued Covariates
by: Tang, Bohao, et al.
Published: (2023)
by: Tang, Bohao, et al.
Published: (2023)
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
by: Guo, Xingche, et al.
Published: (2023)
by: Guo, Xingche, et al.
Published: (2023)
Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
by: Hu, Xiaohan, et al.
Published: (2025)
by: Hu, Xiaohan, et al.
Published: (2025)
Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)
by: Ng, Tin Lok James, et al.
Published: (2025)
Further Inference on Categorical Data -- A Bayesian Approach
by: Pal, Samyajoy, et al.
Published: (2020)
by: Pal, Samyajoy, et al.
Published: (2020)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, et al.
Published: (2025)
Detecting Parameter Instabilities in Functional Concurrent Linear Regression
by: Basu, Rupsa, et al.
Published: (2026)
by: Basu, Rupsa, et al.
Published: (2026)
A Sparse Beta Regression Model for Network Analysis
by: Stein, Stefan, et al.
Published: (2020)
by: Stein, Stefan, et al.
Published: (2020)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, et al.
Published: (2024)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
An Extension of the Unified Skew-Normal Family of Distributions and Application to Bayesian Binary Regression
by: Onorati, Paolo, et al.
Published: (2022)
by: Onorati, Paolo, et al.
Published: (2022)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)
by: Lindon, Michael, et al.
Published: (2022)
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)
by: Zhang, Anru, et al.
Published: (2018)
Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)
by: Breunig, Christoph, et al.
Published: (2025)
Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)
by: Oka, Tatsushi
Published: (2026)
Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates
by: Li, Xinyi, et al.
Published: (2025)
by: Li, Xinyi, et al.
Published: (2025)
Asymptotics for parametric martingale posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
High Dimensional Logistic Regression Under Network Dependence
by: Mukherjee, Somabha, et al.
Published: (2021)
by: Mukherjee, Somabha, et al.
Published: (2021)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Similar Items
-
Bayesian High-dimensional Grouped-regression using Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024) -
Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
by: Roy, Arkaprava, et al.
Published: (2024) -
Bayesian Inference for High-dimensional Time Series with a Stationary Directed Acyclic Graphical Structure
by: Roy, Arkaprava, et al.
Published: (2025) -
Coverage of Credible Sets for Regression under Variable Selection
by: Pal, Samhita, et al.
Published: (2024) -
Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)