I know this because in grad school because I wrongly signed up for Smart Stats, where they teach you the mathematical/trig roots of all the statsy stuff, and subsequently had to switch to Average Person Stats where they stick to practical applications that are less mathyhttps://twitter.com/eigenrobot/status/951311909382320128 …
-
-
I could see it for analysis of Fourier decompositions, maybe?
-
Yeah, my only guess was frequency domain, where I've never poked around But seems like it's hard to call that the foundation of stats? Maybe you could rebase everything from that but pretty unconventional I think (?)
-
I did a ton of control systems theory and promptly forgot all of it, tbh.
End of conversation
New conversation -
-
-
I mean, I guess Covariance is an inner product and expected values are projections and stuff. So stats is kinda linear algebra on a weird space. So you could view stats geometrically(?), though that's a bit more general than trig.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.