Overview
Igor Prünster is a statistician (Bocconi University, Milan; Bocconi Institute for Data Science and Analytics), a leading figure in Bayesian nonparametrics.
Key Contributions / Features
- Ferguson-Dirichlet process retrospective (Lijoi-Prünster-Zhang 2024): the DP's three constructions and their generalizations.
- Foundational work (with Lijoi) on normalized random measures with independent increments (NRMI), Gibbs-type priors, and the asymptotics of species-sampling / clustering priors.
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