arXiv (All)
open access
Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
A 'Winner's Curse' arises in large-scale online experimentation platforms when the same experiments are used to both select treatments and evaluate their effects. In these settings, classical difference-in-means estimators of treatment effects are upwardly biased and conventional confidence interval
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Identification and Robust Inference for Multiple Treatments with Possibly Invalid Instruments#985179
- Comment on arXiv:2607.01233: Survivorship Bias in Published-Paper Baselines for Research-Idea Distributions#1110394
- Dangers of Bayesian analyses and how to address them#1083558
- Randomization Inference for Matched Pairs with Binary Outcomes#925584
- Does p-Hacking Mitigate or Exacerbate the Effects of Publication Bias?#972300
Record · ID 1115487
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive