Comment by t_mann

ARIMA models, seasonal adjustments,... this is still largely based on the Box-Jenkins method (developed in the 70's!). I feel like this stuff has been taught the same way for decades now (maybe similar to undergraduate classical mechanics or other topics that are considered 'solved'). Is this really still the state of the art? Time series analysis seems oddly close to machine learning, which seems to move at break-neck speed all the time, yet it feels completely stuck in time. Can someone unravel that paradox for me?