Nature

Using large language models to suggest informative prior distributions in Bayesian regression analysis

Selecting prior distributions in Bayesian regression analysis is a challenging task. Even if knowledge already exists, gathering this information and translating it into informative prior ...
Nature

Ordinal regression models for zero-inflated and/or over-dispersed count data

Count data are ubiquitous in natural sciences 1,2,3,4,5,6,7,8 and other fields 9,10,11,12,13. The default modeling choice for count data has traditionally been a Poisson regression but it is widely ...