activity
20192026
most citedMore for less: Predicting and maximizing genetic variant discovery via Bayesian nonparametrics

17 citations · 35 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

stat.ME2020★ 5 cited

Independent finite approximations for Bayesian nonparametric inference

Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero +2

Completely random measures (CRMs) and their normalizations (NCRMs) offer flexible models in Bayesian nonparametrics. But their infinite dimensionality presents challenges for infer…