A robust Bayesian look at Covid origins(michaelweissman.substack.com) |
A robust Bayesian look at Covid origins(michaelweissman.substack.com) |
Nothing wrong with a Bayesian approach to summing over your weights, but the weights are still subjective, no?
Can you give a solid example of the “mood and vibe” methodology in the analysis?
At this point it’s necessary to recognize that not only the prior odds P0(LL)/P0(ZW) but also the likelihoods involve some subjective estimates. In order to obtain a convincing answer we need to include some range of plausible values for each likelihood ratio
Your judgement of likelihood? Your range of estimates is informed by what exactly?
I really don’t know what more the writer needs to do, if this thorough and scientific analysis is characterized as “mood and vibe”.
I suggest you put it into peer review in an AMS recognised statistics journal.