On Quantification of Borrowing of Information in Hierarchical Bayesian Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ghosh, Prasenjit, Bhattacharya, Anirban, Pati, Debdeep |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive finite element type decomposition of Gaussian processes
by: Kim, Jaehoan, et al.
Published: (2025)
by: Kim, Jaehoan, et al.
Published: (2025)
Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
by: Roy, Somjit, et al.
Published: (2025)
by: Roy, Somjit, et al.
Published: (2025)
Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020)
by: Lee, Se Yoon, et al.
Published: (2020)
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)
by: Chatterjee, Anirban, et al.
Published: (2023)
Structured Optimal Variational Inference for Dynamic Latent Space Models
by: Zhao, Peng, et al.
Published: (2022)
by: Zhao, Peng, et al.
Published: (2022)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
by: Pati, Debdeep
Published: (2026)
by: Pati, Debdeep
Published: (2026)
Factorized Fusion Shrinkage for Dynamic Relational Data
by: Zhao, Peng, et al.
Published: (2022)
by: Zhao, Peng, et al.
Published: (2022)
Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
by: Manna, Alokesh, et al.
Published: (2025)
by: Manna, Alokesh, et al.
Published: (2025)
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors
by: Roy, Somjit, et al.
Published: (2026)
by: Roy, Somjit, et al.
Published: (2026)
One-shot Conditional Sampling: MMD meets Nearest Neighbors
by: Chatterjee, Anirban, et al.
Published: (2025)
by: Chatterjee, Anirban, et al.
Published: (2025)
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
by: Garg, Anvit, et al.
Published: (2025)
by: Garg, Anvit, et al.
Published: (2025)
Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods
by: Roy, Somjit, et al.
Published: (2025)
by: Roy, Somjit, et al.
Published: (2025)
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Weighted Conformal Clustering
by: Nath, Anirban, et al.
Published: (2026)
by: Nath, Anirban, et al.
Published: (2026)
Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
by: Lugosi, Gábor, et al.
Published: (2025)
by: Lugosi, Gábor, et al.
Published: (2025)
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
by: Agarwal, Abhineet, et al.
Published: (2025)
by: Agarwal, Abhineet, et al.
Published: (2025)
Generalization error of min-norm interpolators in transfer learning
by: Song, Yanke, et al.
Published: (2024)
by: Song, Yanke, et al.
Published: (2024)
Hierarchical Clustering With Confidence
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)
by: Frazier, David T., et al.
Published: (2026)
Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
Bayesian Semiparametric Mixture Cure (Frailty) Models
by: Kızılaslan, Fatih, et al.
Published: (2025)
by: Kızılaslan, Fatih, et al.
Published: (2025)
On the estimation rate of Bayesian PINN for inverse problems
by: Sun, Yi, et al.
Published: (2024)
by: Sun, Yi, et al.
Published: (2024)
Variational Bayesian Bow tie Neural Networks with Shrinkage
by: Sheinkman, Alisa, et al.
Published: (2024)
by: Sheinkman, Alisa, et al.
Published: (2024)
Bayesian Multiplicity Correction in the Probabilistic Forward Stepwise Framework
by: Womack, Andrew, et al.
Published: (2026)
by: Womack, Andrew, et al.
Published: (2026)
Optimal sparse phase retrieval via a quasi-Bayesian approach
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
by: Sengupta, Saikat, et al.
Published: (2025)
by: Sengupta, Saikat, et al.
Published: (2025)
Stein's unbiased risk estimate and Hyvärinen's score matching
by: Ghosh, Sulagna, et al.
Published: (2025)
by: Ghosh, Sulagna, et al.
Published: (2025)
A note on simulation methods for the Dirichlet-Laplace prior
by: Gruber, Luis, et al.
Published: (2025)
by: Gruber, Luis, et al.
Published: (2025)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Robust Bayesian Inference on Riemannian Submanifold
by: Tang, Rong, et al.
Published: (2023)
by: Tang, Rong, et al.
Published: (2023)
Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
General Bayesian Policy Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)
by: Abdulsamad, Hany, et al.
Published: (2026)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
Similar Items
-
Adaptive finite element type decomposition of Gaussian processes
by: Kim, Jaehoan, et al.
Published: (2025) -
Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
by: Roy, Somjit, et al.
Published: (2025) -
Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020) -
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
by: Sert, Gözde, et al.
Published: (2025) -
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)