Ching-Kang Ing, Accumulated Prediction Errors, Information Criteria and Optimal Forecasting for Autoregressive Time Series, The Annals of Statistics, Vol. 35, No. 3 (Jun., 2007), pp. 1238-1277 ...

The ARIMA model is a statistical tool used to analyze time series data to understand trends or predict future outcomes, often applied in financial markets. ARIMA combines autoregressive and moving ...

The embedded Python Processing Engine in InfluxDB 3 allows developers to write Python code that analyzes and acts on time series data in real time.