An Old Look at Empirical Bayes
Fuente:
arXiv
Saved in:
| Main Authors: | Polson, Nicholas G., Sokolov, Vadim O., Zantedeschi, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026)
by: Datta, Jyotishka, et al.
Published: (2026)
De Finetti + Sanov = Bayes
by: Polson, Nicholas G., et al.
Published: (2025)
by: Polson, Nicholas G., et al.
Published: (2025)
Conformal Prediction = Bayes?
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Bayes, E-values and Testing
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Bayes Risk for Goodness of Fit Tests
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Generative Causal Inference
by: Nareklishvili, Maria, et al.
Published: (2023)
by: Nareklishvili, Maria, et al.
Published: (2023)
Synthetic Priors
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Some Bayesian Perspectives on Clinical Trials
by: Sokolova, Alexandra, et al.
Published: (2026)
by: Sokolova, Alexandra, et al.
Published: (2026)
Generative Quantile Bayesian Prediction
by: Nareklishvili, Maria, et al.
Published: (2025)
by: Nareklishvili, Maria, et al.
Published: (2025)
Bayesian Global-Local Regularization
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
Horseshoe Priors and MDP
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Bell's Inequality, Causal Bounds, and Quantum Bayesian Computation: A Unified Framework
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Bayes with No Shame: Admissibility Geometries of Predictive Inference
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
E-Values, Bayes Risk, Dual Role of Markov's Inequality
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Pochhammer Priors for Sparse Count Models
by: Wang, Yuexi, et al.
Published: (2024)
by: Wang, Yuexi, et al.
Published: (2024)
Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
by: Datta, Jyotishka, et al.
Published: (2025)
by: Datta, Jyotishka, et al.
Published: (2025)
E-values for Adaptive Clinical Trials: Anytime-Valid Monitoring in Practice
by: Sokolova, Alexandra, et al.
Published: (2026)
by: Sokolova, Alexandra, et al.
Published: (2026)
Bayesian Methods for the Navier-Stokes Equations
by: Polson, Nicholas, et al.
Published: (2026)
by: Polson, Nicholas, et al.
Published: (2026)
Generative AI for Bayesian Computation
by: Polson, Nicholas G., et al.
Published: (2023)
by: Polson, Nicholas G., et al.
Published: (2023)
Targeted Parameter Estimation for Robust Empirical Bayes Ranking
by: Henderson, Nicholas C., et al.
Published: (2025)
by: Henderson, Nicholas C., et al.
Published: (2025)
Martingale Posterior Predictive Coherence: Hausdorff Moment Hierarchy
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Kakeya Conjecture and Conditional Kolmogorov Complexity
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Entropy-Regularized Inference: A Predictive Approach
by: Polson, Nicholas G., et al.
Published: (2025)
by: Polson, Nicholas G., et al.
Published: (2025)
Bayesian Prediction under Moment Conditioning
by: Polson, Nicholas G., et al.
Published: (2025)
by: Polson, Nicholas G., et al.
Published: (2025)
Deep Learning in Characteristics-Sorted Factor Models
by: Feng, Guanhao, et al.
Published: (2018)
by: Feng, Guanhao, et al.
Published: (2018)
Quantile Importance Sampling
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Rational Expectations in Empirical Bayes
by: Dardanoni, Valentino, et al.
Published: (2024)
by: Dardanoni, Valentino, et al.
Published: (2024)
Empirical Bayes for Data Integration
by: Rognon-Vael, Paul, et al.
Published: (2025)
by: Rognon-Vael, Paul, et al.
Published: (2025)
Empirical Bayes for the Reluctant Frequentist
by: Koenker, Roger, et al.
Published: (2024)
by: Koenker, Roger, et al.
Published: (2024)
Robustifying Empirical Bayes
by: Koenker, Roger, et al.
Published: (2026)
by: Koenker, Roger, et al.
Published: (2026)
Generative AI for Validating Physics Laws
by: Nareklishvili, Maria, et al.
Published: (2025)
by: Nareklishvili, Maria, et al.
Published: (2025)
Fast Compute for ML Optimization
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Horseshoe Mixtures-of-Experts (HS-MoE)
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Fast Compute via MC Boosting
by: Polson, Sarah, et al.
Published: (2026)
by: Polson, Sarah, et al.
Published: (2026)
$MC^2$ Mixed Integer and Linear Programming
by: Polson, Nick, et al.
Published: (2025)
by: Polson, Nick, et al.
Published: (2025)
Similar Items
-
A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026) -
De Finetti + Sanov = Bayes
by: Polson, Nicholas G., et al.
Published: (2025) -
Conformal Prediction = Bayes?
by: Datta, Jyotishka, et al.
Published: (2025) -
Bayes, E-values and Testing
by: Polson, Nicholas G., et al.
Published: (2026) -
Bayes Risk for Goodness of Fit Tests
by: Polson, Nicholas G., et al.
Published: (2026)