Cover Image

False Discovery Rate Control via Frequentist-assisted Horseshoe

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Qiaoyu, Zhu, Zihan, Fu, Ziang, Evans, Michael
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control
by: Machkour, Jasin, et al.
Published: (2021)

Grouped Competition Test with Unified False Discovery Rate Control
by: Deng, Mingzhou, et al.
Published: (2025)

High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)

Conformal Link Prediction with False Discovery Rate Control
by: Du, Wenqin, et al.
Published: (2025)

Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025)

Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control
by: Ryu, Howon, et al.
Published: (2025)

Dependence-Aware False Discovery Rate Control in Two-Sided Gaussian Mean Testing
by: Ghosh, Deepra, et al.
Published: (2025)

Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing
by: Xu, Ziyu, et al.
Published: (2025)

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)

Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle
by: Nie, Yutong, et al.
Published: (2023)

How to Measure Evidence and Its Strength: Bayes Factors or Relative Belief Ratios?
by: Al-Labadi, Luai, et al.
Published: (2023)

The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control
by: Liang, Jiajun, et al.
Published: (2024)

False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies
by: He, Jianliang, et al.
Published: (2024)

Horseshoe Predictive Inference
by: Zhai, Percy S., et al.
Published: (2026)

Differentiable Structure Learning and Causal Discovery for General Binary Data
by: Deng, Chang, et al.
Published: (2025)

Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators
by: Iba, Yukito
Published: (2023)

False Discovery Rate Control via Bayesian Mirror Statistic
by: Molinari, Marco, et al.
Published: (2025)

High-Dimensional False Discovery Rate Control for Dependent Variables
by: Machkour, Jasin, et al.
Published: (2024)

PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
by: Agarwal, Abhineet, et al.
Published: (2025)

Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)

Conformal Risk Control for Non-Monotonic Losses
by: Angelopoulos, Anastasios N.
Published: (2026)

Multiply Robust Conformal Risk Control with Coarsened Data
by: Paul, Manit, et al.
Published: (2025)

Fast and Provably Accurate Sequential Designs using Hilbert Space Gaussian Processes
by: Zhu, Huanyan, et al.
Published: (2026)

Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)

Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
by: Dong, Zihan, et al.
Published: (2026)

Reversible Gromov-Monge Sampler for Simulation-Based Inference
by: Hur, YoonHaeng, et al.
Published: (2021)

The BdryMatérn GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling
by: Ding, Liang, et al.
Published: (2025)

Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
by: Mahajan, Jaideep, et al.
Published: (2025)

Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)

Model-agnostic information transfer and fusion for classification with label noise
by: Guojun, Zhu, et al.
Published: (2026)

Theoretical Analysis of Engression and Reverse Markov Engression
by: Huang, Jiaqi, et al.
Published: (2026)

Frequentist properties of Bayesian inequality tests
by: Kaplan, David M., et al.
Published: (2016)

Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk
by: Simchi-Levi, David, et al.
Published: (2023)

Assumption-free stability for ranking problems
by: Liang, Ruiting, et al.
Published: (2025)

Optimal convex $M$-estimation via score matching
by: Feng, Oliver Y., et al.
Published: (2024)

Inferring Change Points in Regression via Sample Weighting
by: Arpino, Gabriel, et al.
Published: (2026)

Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)

Kernel Two-Sample Testing via Directional Components Analysis
by: Cui, Rui, et al.
Published: (2025)

Deep Learning of Multivariate Extremes via a Geometric Representation
by: Murphy-Barltrop, Callum J. R., et al.
Published: (2024)