3 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 3 cited
Monte Carlo inference for semiparametric Bayesian regression
Daniel R. Kowal, Bohan Wu
Data transformations are essential for broad applicability of parametric regression models. However, for Bayesian analysis, joint inference of the transformation and model paramete…
stat.ME2021★ 3 cited
Semiparametric discrete data regression with Monte Carlo inference and prediction
Daniel R. Kowal, Bohan Wu
Discrete data are abundant and often arise as counts or rounded data. These data commonly exhibit complex distributional features such as zero-inflation, over-/under-dispersion, bo…