Robust Bayesian Modeling with Adaptive Posterior FDR Control for Large-Scale Data
Fuente:
arXiv
Saved in:
| Main Author: | Hayashi, Yoshiko |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)
by: Hayashi, Yoshiko
Published: (2025)
Bayesian Analysis on Limiting the Student-$t$ Linear Regression Model
by: Hayashi, Yoshiko
Published: (2020)
by: Hayashi, Yoshiko
Published: (2020)
Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)
by: Hayashi, Yoshiko
Published: (2025)
Adaptive procedures for boundary FDR control
by: Mostow, Sarah, et al.
Published: (2026)
by: Mostow, Sarah, et al.
Published: (2026)
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)
Synthetic-Powered Multiple Testing with FDR Control
by: Lee, Yonghoon, et al.
Published: (2026)
by: Lee, Yonghoon, et al.
Published: (2026)
Bayesian Doubly Robust Causal Inference via Posterior Coupling
by: Orihara, Shunichiro, et al.
Published: (2025)
by: Orihara, Shunichiro, et al.
Published: (2025)
Robust Bayesian Optimization via Tempered Posteriors
by: Li, Jiguang, et al.
Published: (2026)
by: Li, Jiguang, et al.
Published: (2026)
FDR Control for Online Anomaly Detection
by: Krönert, Etienne, et al.
Published: (2023)
by: Krönert, Etienne, et al.
Published: (2023)
Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
by: Kong, Lingxuan, et al.
Published: (2025)
by: Kong, Lingxuan, et al.
Published: (2025)
SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
by: Kuang, Qi, et al.
Published: (2026)
by: Kuang, Qi, et al.
Published: (2026)
Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
by: Lee, Seungwon, et al.
Published: (2025)
by: Lee, Seungwon, et al.
Published: (2025)
Online FDR Controlling procedures for statistical SIS Model and its application to COVID19 data
by: Hwang, Seohwa, et al.
Published: (2026)
by: Hwang, Seohwa, et al.
Published: (2026)
Online multi-layer FDR control
by: Wang, Runqiu, et al.
Published: (2025)
by: Wang, Runqiu, et al.
Published: (2025)
Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
by: Pang, Naiwen, et al.
Published: (2024)
by: Pang, Naiwen, et al.
Published: (2024)
Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
by: Zhang, Yifan, et al.
Published: (2026)
by: Zhang, Yifan, et al.
Published: (2026)
Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
by: Warnick, Ryan
Published: (2025)
by: Warnick, Ryan
Published: (2025)
Bayesian Variable Selection with the Quasi-Posterior
by: Hadj-Amar, Beniamino, et al.
Published: (2026)
by: Hadj-Amar, Beniamino, et al.
Published: (2026)
Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Robust Standard Errors for Bayesian Posterior Functionals via the Infinitesimal Jackknife
by: Luo, Nanyu, et al.
Published: (2026)
by: Luo, Nanyu, et al.
Published: (2026)
FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking
by: Machkour, Jasin, et al.
Published: (2024)
by: Machkour, Jasin, et al.
Published: (2024)
Posterior and Likelihood Sensitivity in Bayesian Distributionally Robust Optimization
by: Gotoh, Jun-ya, et al.
Published: (2026)
by: Gotoh, Jun-ya, et al.
Published: (2026)
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Posterior Quantification of Borrowing from Multiple Historical Control Data in Bayesian Dynamic Borrowing Methods: A Scoping Review
by: Ohigashi, Tomohiro, et al.
Published: (2026)
by: Ohigashi, Tomohiro, et al.
Published: (2026)
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
by: Machkour, Jasin, et al.
Published: (2024)
by: Machkour, Jasin, et al.
Published: (2024)
FDR Control via Neural Networks under Covariate-Dependent Symmetric Nulls
by: Kim, Taehyoung, et al.
Published: (2025)
by: Kim, Taehyoung, et al.
Published: (2025)
Location--Scale Calibration for Generalized Posterior
by: Tamano, Shu, et al.
Published: (2025)
by: Tamano, Shu, et al.
Published: (2025)
Conformal novelty detection for replicate point patterns with FDR or FWER control
by: Biscio, Christophe A. N., et al.
Published: (2025)
by: Biscio, Christophe A. N., et al.
Published: (2025)
Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
by: Ye, Shengbin, et al.
Published: (2025)
by: Ye, Shengbin, et al.
Published: (2025)
Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models
by: Wang, Changhu, et al.
Published: (2025)
by: Wang, Changhu, et al.
Published: (2025)
Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
by: Cai, Zhanrui, et al.
Published: (2023)
by: Cai, Zhanrui, et al.
Published: (2023)
Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)
by: Hamura, Yasuyuki, et al.
Published: (2023)
Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)
by: Mathews, Joseph, et al.
Published: (2024)
Virtual Dummies: Enabling Scalable FDR-Controlled Variable Selection via Sequential Sampling of Null Features
by: Koka, Taulant, et al.
Published: (2026)
by: Koka, Taulant, et al.
Published: (2026)
MMDCP: A Distribution-free Approach to Outlier Detection and Classification with Coverage Guarantees and SCW-FDR Control
by: Lin, Youwu, et al.
Published: (2025)
by: Lin, Youwu, et al.
Published: (2025)
A generalized e-value feature detection method with FDR control at multiple resolutions
by: Yu, Chengyao, et al.
Published: (2024)
by: Yu, Chengyao, et al.
Published: (2024)
Bayesian Quantile Estimation and Regression with Martingale Posteriors
by: Fong, Edwin, et al.
Published: (2024)
by: Fong, Edwin, et al.
Published: (2024)
Anytime-valid FDR control with the stopped e-BH procedure
by: Wang, Hongjian, et al.
Published: (2025)
by: Wang, Hongjian, et al.
Published: (2025)
Estimating the Sampling Distribution of Posterior Decision Summaries in Bayesian Clinical Trials
by: Golchi, Shirin, et al.
Published: (2023)
by: Golchi, Shirin, et al.
Published: (2023)
Posterior accuracy and calibration under misspecification in Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2023)
by: Scholz, Maximilian, et al.
Published: (2023)
Similar Items
-
Robust local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025) -
Bayesian Analysis on Limiting the Student-$t$ Linear Regression Model
by: Hayashi, Yoshiko
Published: (2020) -
Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025) -
Adaptive procedures for boundary FDR control
by: Mostow, Sarah, et al.
Published: (2026) -
Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
by: Focardi-Olmi, Lorenzo, et al.
Published: (2024)