arXiv (OAI Expanded)
open access
A note on the distribution of the partial correlation coefficient with nonparametrically estimated marginal regressions
There has been much interest in the nonparametric testing of conditional independence in the econometric and statistical literature, but the simplest and potentially most useful method, based on the sample partial correlation, seems to have been overlooked, its distribution only having been investig
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
- Transitional Conditional Independence#1076680
- An Effect of Violating Independence Assumption between parameters in Analyses for the Estimation of Mean, Correlation, and Linear regression Using Bayesian Hierarchical Modeling#223250
- Marginal maximum likelihood estimation and asymptotic theory for latent variable models in high dimensions#1122667
- The Nonparametric Approach in Elementary Statistics#198393
- Spatially Correlated Missing Data: A Comparative Study#359550
Record · ID 1109742
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