arXiv (All)
open access
Bayesian functional data analysis in astronomy
Cosmic demographics -- the statistical study of populations of astrophysical objects -- has long relied on *multivariate statistics*, providing methods for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular astronomical catalog (say, with sky c
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
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.#631123
- Spatial models cannot compensate for sampling designs unstructured relative to isotopic variation: implications for baseline isoscape development in the Mediterranean Sea#427338
- Radio component of the multi-messenger emission from the anticipated T Coronae Borealis outburst#1064735
- Preliminaries of Cold Nucleogenesis: A Wayward Metamonism Processual Model of Continuous Matter Birth#708823
- Cosmic Education: Formation of a Planetary and Cosmic Personality#698824
Record · ID 799826
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