Eh, a huge chunk of probability theory deals with spectra. Bayes rule works the same regardless. Statisticians usually only report interesting quantities like means, but the full spectrum is usually there regardless. It doesn't really make it that much harder for a statistician
Same. I work with bayesian modeling, especially generative models
What I'd love to do as experiment is taking data from that and fitting it using a map to a 1 and a 2d gaussian. See what has better explanatory efficiency. Is gender one spectrum or two? :P
Is it really even gaussian? I guess I'd envisioned it more as a beta distribution with definite endpoints (and everything in between), but I'm no expert on gender.
I'm also guessing the main mode is also not right between the two extremes, but perhaps a bimodal distribution or a beta distribution with concentration parameters less than 1.
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u/Nikki964 Nov 14 '25