Constructions for a bivariate beta distribution
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Abstract (arXiv)
The beta distribution is a basic distribution serving several purposes. It is used to model data, and also, as a more flexible version of the uniform distribution, it serves as a prior distribution for a binomial probability. The bivariate beta distribution plays a similar role for two probabilities that have a bivariate binomial distribution. We provide a new multivariate distribution with beta marginal distributions, positive probability over the unit square, and correlations over the full range. We discuss its extension to three or more dimensions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jun 2014.
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Citing papers per year: 2023: 2; 2024: 0; 2025: 2.
4 papers.
- 2023Uplift vs. predictive modeling: a theoretical analysiscited by 3
- 2023Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibrationcited by 1
- 2025Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structurescited by 0
- 2025Identifying counterfactual probabilities using bivariate distributions and uplift modelingcited by 0
- 2025Identifying counterfactual probabilities using bivariate distributions and uplift modeling9 Dec 2025
- 2025Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures27 Feb 2025
- 2023Uplift vs. predictive modeling: a theoretical analysis21 Sep 2023
- 2023Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration6 Sep 2023