Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
Fuente:
arXiv
Saved in:
| Main Authors: | Sabbagh, Magid, Stephens, David A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026)
by: Sabbagh, Magid, et al.
Published: (2026)
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Bayesian Conformal Prediction via the Bayesian Bootstrap
by: Gibson, Graham
Published: (2025)
by: Gibson, Graham
Published: (2025)
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021)
by: Pompe, Emilia, et al.
Published: (2021)
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)
by: Xi, Mengxin, et al.
Published: (2025)
The Bayesian Way: Uncertainty, Learning, and Statistical Reasoning
by: Sosa, Juan, et al.
Published: (2025)
by: Sosa, Juan, et al.
Published: (2025)
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
by: Liu, Kaizhao, et al.
Published: (2024)
by: Liu, Kaizhao, et al.
Published: (2024)
Bayesian Image Mediation Analysis
by: Xu, Yuliang, et al.
Published: (2023)
by: Xu, Yuliang, et al.
Published: (2023)
Bayesian Geostatistics Using Predictive Stacking
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)
AR-sieve Bootstrap for High-dimensional Time Series
by: Bi, Daning, et al.
Published: (2021)
by: Bi, Daning, et al.
Published: (2021)
Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
Moment Martingale Posteriors for Semiparametric Predictive Bayes
by: Yung, Yiu Yin, et al.
Published: (2025)
by: Yung, Yiu Yin, et al.
Published: (2025)
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
by: Legramanti, Sirio, et al.
Published: (2022)
by: Legramanti, Sirio, et al.
Published: (2022)
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025)
by: Xie, Fangzheng, et al.
Published: (2025)
High Dimensional Bootstrap and Asymptotic Expansion for the $k$-th Largest Coordinate
by: Feng, Long
Published: (2026)
by: Feng, Long
Published: (2026)
Self-convolved Bootstrap for M-regression under Complex Temporal Dynamics
by: Liu, Miaoshiqi, et al.
Published: (2023)
by: Liu, Miaoshiqi, et al.
Published: (2023)
Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data
by: Mai, The Tien, et al.
Published: (2026)
by: Mai, The Tien, et al.
Published: (2026)
Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)
by: Hamura, Yasuyuki, et al.
Published: (2023)
A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Parameter Inference for Degenerate Diffusion Processes
by: Iguchi, Yuga, et al.
Published: (2023)
by: Iguchi, Yuga, et al.
Published: (2023)
On a Probability Inequality for Order Statistics with Applications to Bootstrap, Conformal Prediction, and more
by: Paul, Manit, et al.
Published: (2026)
by: Paul, Manit, et al.
Published: (2026)
Invited Discussion of "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by Gonzalo García-Donato , María Eugenia Castellanos , Stefano Cabras Alicia Quirós , and Anabel Forte
by: Clyde, Merlise A
Published: (2025)
by: Clyde, Merlise A
Published: (2025)
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques
by: Oliveira, Natalia L., et al.
Published: (2021)
by: Oliveira, Natalia L., et al.
Published: (2021)
Divergence-based Robust Generalised Bayesian Inference for Directional Data via von Mises-Fisher models
by: Nakagawa, Tomoyuki, et al.
Published: (2025)
by: Nakagawa, Tomoyuki, et al.
Published: (2025)
Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)
by: Adamek, Robert, et al.
Published: (2023)
Weighted Holm Procedures: Theory, Properties, and Recommendations
by: Li, Beibei, et al.
Published: (2026)
by: Li, Beibei, et al.
Published: (2026)
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques
by: Oliveira, Natalia L., et al.
Published: (2022)
by: Oliveira, Natalia L., et al.
Published: (2022)
An Asymptotically Exact Multiple Testing Procedure under Dependence
by: Datta, Swarnadeep, et al.
Published: (2025)
by: Datta, Swarnadeep, et al.
Published: (2025)
Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
by: Wang, Yiren, et al.
Published: (2021)
by: Wang, Yiren, et al.
Published: (2021)
Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
by: Arsenteva, Polina, et al.
Published: (2024)
by: Arsenteva, Polina, et al.
Published: (2024)
Bootstrap-Assisted Inference for Generalized Grenander-type Estimators
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
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)
Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)
by: Cai, Bryan, et al.
Published: (2023)
Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
by: Dey, Monitirtha, et al.
Published: (2023)
by: Dey, Monitirtha, et al.
Published: (2023)
Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)
by: Abdulsamad, Hany, et al.
Published: (2026)
To Study Properties of a Known Procedure in Adaptive Sequential Sampling Design
by: Kundu, Sampurna, et al.
Published: (2024)
by: Kundu, Sampurna, et al.
Published: (2024)
Characterizing Finite-Dimensional Posterior Marginals in High-Dimensional GLMs via Leave-One-Out
by: Sáenz, Manuel, et al.
Published: (2025)
by: Sáenz, Manuel, et al.
Published: (2025)
Some Results on Generalized Familywise Error Rate Controlling Procedures under Dependence
by: Dey, Monitirtha, et al.
Published: (2025)
by: Dey, Monitirtha, et al.
Published: (2025)
Similar Items
-
Semi-parametric Bayesian inference under Neyman orthogonality
by: Sabbagh, Magid, et al.
Published: (2026) -
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023) -
Bayesian Conformal Prediction via the Bayesian Bootstrap
by: Gibson, Graham
Published: (2025) -
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
by: Pompe, Emilia, et al.
Published: (2021) -
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)