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>the hardest part is realizing that there are all kinds of tacit assumptions that we bring to bear merely by formulating a problem for Bayesian analysis. I thi
by bumby 4y ago
>the hardest part is realizing that there are all kinds of tacit assumptions that we bring to bear merely by formulating a problem for Bayesian analysis.
I think the common argument is this is a strength of Bayesian analysis. Namely, that your priors make you explicitly state your assumptions. All models integrate assumptions, but not all of them make you explicitly quantify them like Bayesian analysis does.
- nerdponx 4y agoThis was my experience as well, and it's why I recommend learning Bayesian stats to any student of data analysis and statistics. I find that learning how to set up Bayesian models has a strong elucidating effect on model-building in general.