A conjugate prior for the Dirichlet distribution
arXiv:1811.05266v12 citations
Originality Synthesis-oriented
AI Analysis
This work provides a theoretical tool for Bayesian statisticians, but it is incremental as it builds on existing distribution theory.
The paper tackles the problem of identifying a conjugate prior for the Dirichlet distribution within the exponential family, resulting in the derivation of such a prior.
This note investigates a conjugate class for the Dirichlet distribution class in the exponential family.