New Paper: Distributed ARIMA Models for Ultra-long Time Series

Authors:  Xiaoqian Wang, Yanfei Kang, Rob J Hyndman and Feng Li Providing forecasts for ultra-long time series plays a vital role in various activities, such as investment decisions, industrial production arrangements, and farm management. This paper develops a novel distributed forecasting framework to tackle challenges associated with forecasting ultra-long time series by utilizing the industry-standard MapReduce … Continue reading New Paper: Distributed ARIMA Models for Ultra-long Time Series