arXiv (All)
open access
Bivariate beta distribution: parameter inference and diagnostics
Correlated proportions appear in many real-world applications and present a unique challenge in terms of finding an appropriate probabilistic model due to their constrained nature. The bivariate beta is a natural extension of the well-known beta distribution to the space of correlated quantities on
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
- Bayesian Libby-Novick and McDonald's Beta Mixture Models with Variational Inference#365498
- Scalable Bayesian Spatiotemporal Tensor Modeling for Censored and Missing Areal Data#1034686
- Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression#1039134
- DYNAMIC CONDITIONAL CORRELATION : A SIMPLE CLASS OF MULTIVARIATE GARCH MODELS#942342
- Bayesian repulsive mixture model for multivariate functional data#665670
Record · ID 997895
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