Oliver Hines and Karla Diaz-Ordazʼs Contribution to the Discussion of ‘Assumption-Lean Inference For Generalised Linear Model Parameters’ by Vansteelandt and Dukes
Hines 与 Diaz-Ordaz 对《广义线性模型参数的弱假设推断》的讨论
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. The parametric modeller assumes that for some particular β, ω(.), the remainder term is exactly zero. Inference is…