[D] What's the role of asymptotic statistics in real life applications?
What benefits can an applied statistician get from learning asymptotics? from basic inference stats I was taught that "limit" properties e.g consistency are good to have, but I haven't gotten this "feeling" of importance, especially in ML/TS forecasting problems. Have you used asymptotic results in your work as an applied statistician/data scientist etc ?