arXiv (All)
open access
Cross-Fitting Under Nonregularity: Normality and Inference via Locality
Cross-fitting is routine in much of applied research. While conventional confidence intervals that ignore cross-fold dependence are asymptotically valid in several settings, they undercover in many applications that share a common form of nonregularity: from the classic cross-validation problem of t
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
- NExt-LMM: a two-stage LMM framework with near-exact variance components for genome-wide association studies#1248279
- Empirically derived phenotypes can reduce diagnostic heterogeneity#175965
- Selective Similarity Preference: People with a "Darker Core" Desire More Partner Similarity in Dark Traits but Not in Big Five.#1091586
- A Three-Stage Causal Root-Cause Diagnostic Protocol for Nonstationary Industrial Time Series Data#400099
- China Dizziness and Vertigo Cohort Study （VERIDICAL STUDY）#1163777
Record · ID 1187622
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