arXiv (All)
open access
Moderate Deviations for Random-Indexed Cluster Counts in Hierarchical Pitman-Yor Models
Consider a sample of size $N$ from a two-layer hierarchical Pitman--Yor model, and let $ξ(N)$ denote the random number of clusters generated at the first layer of the hierarchy. We study moderate deviation principles for partition statistics evaluated at the random sample size $ξ(N)$. In particular,
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
- Model-Assisted Estimation of Finite Population Mean in Two-stage Cluster Sampling#955908
- Exploring the AGN population in protoclusters: results from the TNG300 simulation and comparison with observations#987059
- Regularly varying random fields and analyses of extremal clusters#493572
- Addressing outliers in mixed-effects logistic regression: a more robust modeling approach#1115473
- Bias by Variance: How Common Parameter Transformations in Hierarchical Modeling Distort Group-Level Estimates#368827
Record · ID 1201341
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