传统时间序列预测方法如ARIMA或指数平滑通常将各产品视为独立个体进行处理，基于线性趋势假设，且要求数据满足平稳性条件或进行相应变换。当面对数十种产品间的相互作用关系，或需要整合促销活动、节假日效应、天气条件等外部信号时，这些方法往往力不从心。时间图 ...

The tariffs wars involving global economic powerhouses such as the U.S. and China are being felt even in such distinctly local places as your regional amusement park.

“Pump up the volume” by M|A|R|R|S or Ireland’s 1990 football song “Put ‘em under pressure” are obvious candidates for ...