An Urn Model Approach for Deriving Multivariate Generalized Hypergeometric Distributions

2013/09/03 by Xinjia Chen, Chen, Xinjia
Computer Science · Environmental Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Probability (math.PR) #Soil Geostatistics and Mapping #Statistical Methods and Bayesian Inference #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.1309.0805

openalex publication_date 2013/09/03 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

We propose new generalized multivariate hypergeometric distributions, which extremely resemble the classical multivariate hypergeometric distributions. The proposed distributions are derived based on an urn model approach. In contrast to existing methods, this approach does not involve hypergeometric series.

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