NBER
metadata only
Rank-1/2: A Simple Way to Improve the OLS Estimation of Tail Exponents
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
- Theory of Statistical Estimation : Contributions to Higher Order Asymptotics and Non-Regular Cases / by Masafumi Akahira#1165539
- Bernstein-smoothed estimation and bootstrap inference for the lower-tail Spearman's rho curve#1122927
- Expected Shortfall Factor Models: Common Tail Losses and Expected Returns#997593
- Sharp bounds for stochastic proximal and projection estimators via radial dominance#1083132
- Stochastic Dynamical Low-Rank Approximation in the Context of Machine Learning#253419
Record · ID 21390
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