Modelling Compositional Data Using Dirichlet Regression Models

By Raflq H. Hijazi, R. Jernigan. 2007

169 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/47908cb0f114871c4991860124974bbf1196b411

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1. Christine Thomas-Agnan
2. Michel Simioni
3. Joanna Morais
4. Paul-Christian Burkner
5. Bharath K. Sriperumbudur
6. Francis R. Bach
7. Kenji Fukumizu
8. Krikamol Muandet

Citations in the corpus

• Bayesian Item Response Modeling in R with brms and Stan (2019, methodology): “When items consist of a comparative judgment between C categorical alternatives on a continuous bounded scale, obtained responses are in a “proportion-of-total” (compositional) format (Hijazi and Jernigan 2009).”
• Using compositional and Dirichlet models for market share regression (2018, background): “As explained in Hijazi and Jernigan [10], ‘a different Dirichlet distribution is modeled for every value of the explanatory variables, resulting in a conditional Dirichlet distribution’.”