A Flexible Defense Against the Winner's Curse
Fuente:
arXiv
Saved in:
| Main Authors: | Zrnic, Tijana, Fithian, William |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022)
by: Zrnic, Tijana, et al.
Published: (2022)
A Note on the Prediction-Powered Bootstrap
by: Zrnic, Tijana
Published: (2024)
by: Zrnic, Tijana
Published: (2024)
Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025)
by: Nguyen, Drew T., et al.
Published: (2025)
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
Cross-Prediction-Powered Inference
by: Zrnic, Tijana, et al.
Published: (2023)
by: Zrnic, Tijana, et al.
Published: (2023)
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
by: Guo, Zijian, et al.
Published: (2022)
by: Guo, Zijian, et al.
Published: (2022)
PPI++: Efficient Prediction-Powered Inference
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
by: Angelopoulos, Anastasios N., et al.
Published: (2023)
Valid Inference After Causal Discovery
by: Gradu, Paula, et al.
Published: (2022)
by: Gradu, Paula, et al.
Published: (2022)
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)
by: Pantazis, Konstantinos, et al.
Published: (2024)
Curse of Dimensionality in Bayesian Model Updating
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)
by: Hlynsson, Hlynur Davíð
Published: (2024)
A Guide to Feature Importance Methods for Scientific Inference
by: Ewald, Fiona Katharina, et al.
Published: (2024)
by: Ewald, Fiona Katharina, et al.
Published: (2024)
A Permutation-free Kernel Two-Sample Test
by: Shekhar, Shubhanshu, et al.
Published: (2022)
by: Shekhar, Shubhanshu, et al.
Published: (2022)
Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
by: Dance, Hugh, et al.
Published: (2024)
by: Dance, Hugh, et al.
Published: (2024)
A network-constrain Weibull AFT model for biomarkers discovery
by: Angelini, Claudia, et al.
Published: (2024)
by: Angelini, Claudia, et al.
Published: (2024)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
A general framework for inference on algorithm-agnostic variable importance
by: Williamson, Brian D., et al.
Published: (2020)
by: Williamson, Brian D., et al.
Published: (2020)
Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification
by: Ndaoud, Mohamed, et al.
Published: (2024)
by: Ndaoud, Mohamed, et al.
Published: (2024)
Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
by: Chung, Junhyoung, et al.
Published: (2026)
by: Chung, Junhyoung, et al.
Published: (2026)
A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations
by: Chatalic, Antoine, et al.
Published: (2025)
by: Chatalic, Antoine, et al.
Published: (2025)
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
by: Dunn, Robin, et al.
Published: (2021)
by: Dunn, Robin, et al.
Published: (2021)
A Conditional Distribution Equality Testing Framework using Deep Generative Learning
by: Zheng, Siming, et al.
Published: (2025)
by: Zheng, Siming, et al.
Published: (2025)
The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants
by: Hung, Hung, et al.
Published: (2025)
by: Hung, Hung, et al.
Published: (2025)
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
by: Zheng, Mingyi, et al.
Published: (2026)
by: Zheng, Mingyi, et al.
Published: (2026)
What is a good matching of probability measures? A counterfactual lens on transport maps
by: De Lara, Lucas, et al.
Published: (2025)
by: De Lara, Lucas, et al.
Published: (2025)
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)
by: Chakrabortty, Abhishek, et al.
Published: (2022)
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2026)
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2026)
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)
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
by: Jiang, Cong, et al.
Published: (2023)
by: Jiang, Cong, et al.
Published: (2023)
A renormalization-group inspired lattice-based framework for piecewise generalized linear models
by: Chang, Joshua C.
Published: (2026)
by: Chang, Joshua C.
Published: (2026)
Theoretical Foundations of Conformal Prediction
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
by: Angelopoulos, Anastasios N., et al.
Published: (2024)
Causal inference through multi-stage learning and doubly robust deep neural networks
by: Zhang, Yuqian, et al.
Published: (2024)
by: Zhang, Yuqian, et al.
Published: (2024)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
by: de Souza, Douglas Baptista, et al.
Published: (2024)
by: de Souza, Douglas Baptista, et al.
Published: (2024)
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
by: Ma, Zhengchi, et al.
Published: (2024)
by: Ma, Zhengchi, et al.
Published: (2024)
Optimal convex $M$-estimation via score matching
by: Feng, Oliver Y., et al.
Published: (2024)
by: Feng, Oliver Y., 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)
PCA for Point Processes
by: Picard, Franck, et al.
Published: (2024)
by: Picard, Franck, et al.
Published: (2024)
Similar Items
-
Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022) -
A Note on the Prediction-Powered Bootstrap
by: Zrnic, Tijana
Published: (2024) -
Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025) -
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024) -
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)