arXiv (All)
open access
TAP Accuracy Below the Fluctuation Scale and Universal Posterior Geometry in Spherical Linear Models
We study the Bayes-optimal spherical linear model as the ambient dimension and sample size grow proportionally, under a quantitative Marchenko--Pastur spectral-regularity condition on the design. This condition is satisfied by normalized i.i.d. designs with standardized entries of finite fourth mome
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
- TAP Accuracy Below the Fluctuation Scale and Universal Posterior Geometry in Spherical Linear Models#978429
- A New k-Space Model for Non-Cartesian Fourier Imaging.#354597
- Bayesian Clinical Trial Design for Distributional Outcomes with Noncompliance.#1091364
- Bayesian (hierarchical) spatial modeling in epidemiology#956466
- Thin-Shell implies small-ball deviation via Gaussian tilts#820623
Record · ID 1034390
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