Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes

We congratulate the authors on their work, which contributes to a growing movement in Statistics, moving away from (semi)parametric-based regression model assumptions, in favour of understanding working models as non-parametric projections of the true distribution. Here, we highlight this aspect of the work, and draw connections with other recent developments.