Dependency-Aware Shrinkage Priors for High Dimensional Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Aguilar, Javier Enrique, Bürkner, Paul-Christian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
R2 priors for Grouped Variance Decomposition in High-dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)
by: Aguilar, Javier Enrique, et al.
Published: (2025)
Post-clustering Inference under Dependence
by: González-Delgado, Javier, et al.
Published: (2023)
by: González-Delgado, Javier, et al.
Published: (2023)
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
by: Li, Danning, et al.
Published: (2024)
by: Li, Danning, et al.
Published: (2024)
Poisson-response Tensor-on-Tensor Regression and Applications
by: Llosa-Vite, Carlos, et al.
Published: (2026)
by: Llosa-Vite, Carlos, et al.
Published: (2026)
Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)
by: Tho, Zhi Yang, et al.
Published: (2024)
A Sparse Beta Regression Model for Network Analysis
by: Stein, Stefan, et al.
Published: (2020)
by: Stein, Stefan, et al.
Published: (2020)
An Ising Similarity Regression Model for Modeling Multivariate Binary Data
by: Tho, Zhi Yang, et al.
Published: (2024)
by: Tho, Zhi Yang, et al.
Published: (2024)
Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
by: Yang, Yachong, et al.
Published: (2023)
by: Yang, Yachong, et al.
Published: (2023)
Aggregating Dependent Signals with Heavy-Tailed Combination Tests
by: Gui, Lin, et al.
Published: (2023)
by: Gui, Lin, et al.
Published: (2023)
Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)
by: Oka, Tatsushi
Published: (2026)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)
by: Tsai, Katherine, et al.
Published: (2024)
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)
by: Zhu, Zihan, et al.
Published: (2026)
Small Sample Inference for Two-way Capture Recapture Experiments
by: Rivest, Louis-Paul, et al.
Published: (2023)
by: Rivest, Louis-Paul, et al.
Published: (2023)
On Data Thinning for Model Validation in Small Area Estimation
by: Kawano, Sho, et al.
Published: (2026)
by: Kawano, Sho, et al.
Published: (2026)
Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)
by: Firinguetti, Luis, et al.
Published: (2024)
High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions
by: Xue, Fei, et al.
Published: (2023)
by: Xue, Fei, et al.
Published: (2023)
Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
by: Castro-Prado, Fernando, et al.
Published: (2024)
by: Castro-Prado, Fernando, et al.
Published: (2024)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, et al.
Published: (2025)
High Dimensional Logistic Regression Under Network Dependence
by: Mukherjee, Somabha, et al.
Published: (2021)
by: Mukherjee, Somabha, et al.
Published: (2021)
Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)
by: Van Dijcke, David
Published: (2025)
On self-training of summary data with genetic applications
by: Su, Buxin, et al.
Published: (2025)
by: Su, Buxin, et al.
Published: (2025)
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)
by: Peyrouset, Nils, et al.
Published: (2025)
Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)
by: Sáo, Yuri Taglieri, et al.
Published: (2025)
Peace Sells, But Whose Songs Connect? Bayesian Multilayer Network Analysis of the Big 4 of Thrash Metal
by: Sosa, Juan, et al.
Published: (2025)
by: Sosa, Juan, et al.
Published: (2025)
Valid F-screening in linear regression
by: McGough, Olivia, et al.
Published: (2025)
by: McGough, Olivia, et al.
Published: (2025)
Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
Optimal treatment regimes for the net benefit of a treatment
by: Petit, François, et al.
Published: (2025)
by: Petit, François, et al.
Published: (2025)
Models with Accelerated Failure Conditionals
by: Lakhani, Jared N.
Published: (2025)
by: Lakhani, Jared N.
Published: (2025)
The Bayesian optimal two-stage design for clinical phase II trials based on Bayes factors
by: Kelter, Riko, et al.
Published: (2025)
by: Kelter, Riko, et al.
Published: (2025)
Robust estimation of polyserial correlation coefficients: A density power divergence approach
by: Welz, Max
Published: (2025)
by: Welz, Max
Published: (2025)
Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
by: Pin, Lukas, et al.
Published: (2025)
by: Pin, Lukas, et al.
Published: (2025)
Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
by: Mosaferi, Sepideh, et al.
Published: (2025)
by: Mosaferi, Sepideh, et al.
Published: (2025)
On treating right-censoring events like treatments
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Simultaneous hypothesis testing for comparing many functional means
by: Decker, Colin, et al.
Published: (2025)
by: Decker, Colin, et al.
Published: (2025)
Stochastic Taylor expansion via Poisson point processes
by: Wu, Weichao, et al.
Published: (2025)
by: Wu, Weichao, et al.
Published: (2025)
Set-valued data analysis for interlaboratory comparisons
by: Petit, Sébastien, et al.
Published: (2025)
by: Petit, Sébastien, et al.
Published: (2025)
Bernstein Polynomial Processes for Continuous Time Change Detection
by: Cunha, Dan, et al.
Published: (2025)
by: Cunha, Dan, et al.
Published: (2025)
Similar Items
-
R2 priors for Grouped Variance Decomposition in High-dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025) -
Post-clustering Inference under Dependence
by: González-Delgado, Javier, et al.
Published: (2023) -
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
by: Li, Danning, et al.
Published: (2024) -
Poisson-response Tensor-on-Tensor Regression and Applications
by: Llosa-Vite, Carlos, et al.
Published: (2026) -
Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)