“Ok. So?” Well so Computer Science has been focusing mainly on the predictive side (ML/AI) and you had a lot of intellectual whining that they’re “re-inventing” statistics just with different terminology. I’m not sure if this is just an attempt to down play their results or if it’s more academic jealousy because the funding goes to the “cool stuff” like AI/ML in the CS dept. and the Stats dept. is seen as old and boring. That’s what it feels like. You’ll even see this type of commentary in the preface of books like All of Statistics.
No matter what comes from empirical research in Computer Science re: prediction/classification methods you’ll hear the Stats camp crying that it’s “just Statistics” at the end of the day. Fair enough, but computational Statistics was then neglected for long enough that computer scientists had to create more powerful techniques independently and can claim priority on that front. Theory lags practice in this area.
No matter what comes from empirical research in Computer Science re: prediction/classification methods you’ll hear the Stats camp crying that it’s “just Statistics” at the end of the day. Fair enough, but computational Statistics was then neglected for long enough that computer scientists had to create more powerful techniques independently and can claim priority on that front. Theory lags practice in this area.