Professor Andriy Norets, Brown University, "Locally robust efficient Bayesian inference"

Prof. Andriy Norets is an econometrician with expertise in Bayesian econometrics.

Norets’ most recent work focuses on studying the data analysis methods used by economists and trying to figure out which procedures have properties that are useful from both the Bayesian and classical approach.

The latter, which is the approach most traditionally taught in classrooms, looks at how estimation procedures behave on average across different data sets. The former, an old approach that only recently became practical for a wide range of problems due to advances in computing speed and simulation methods, aims for a reasonable behavior for any given data set.