On 19 June 2020, I will be giving a talk at the eRum2020 conference titled “brquasi: Improved quasi-likelihood estimation”. The talk is about the brquasi R package, which provides a
glm method for improving bias in quasi likelihood estimation.
That package is a spin-off of theoretical work with Nicola Lunardon on methods for reduced-bias M-estimation in general that require neither re-sampling (like the bootstrap does) nor full knowledge of the underlying distribution of the data (like other higher-order asymptotic methods do). The technical details behind reduced-bias M-estimation can be found at
Kosmidis I, Lunardon N (2020). Empirical bias-reducing adjustments to estimating functions. arXiv:2001.03786
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