Archive for Science Centre

principles or unprincipled?!

Posted in Books, Kids, pictures, Statistics, Travel with tags , , , , , , , on May 2, 2017 by xi'an

A lively and wide-ranging discussion during the Bayes, Fiducial, Frequentist conference was about whether or not we should look for principles. Someone mentioned Terry Speed (2016) claim that it does not help statistics in being principled. Against being efficient. Which gets quite close in my opinion to arguing in favour of a no-U-turn move to machine learning—which requires a significant amount of data to reach this efficiency, as Xiao-Li Meng mentioned—. The debate brought me back to my current running or droning argument on the need to accommodate [more] the difference between models and reality. Not throwing away statistics and models altogether, but developing assessments that are not fully chained to those models. While keeping probabilistic models to handle uncertainty. One pessimistic conclusion I drew from the discussion is that while we [as academic statisticians] may set principles and even teach our students how to run principled and ethical statistical analyses, there is not much we can do about the daily practice of users of statistics…