Hierachical Forecast offers differnt reconciliation methods that render coherent forecasts across hierachies. Until recent, this methods were mainly avaiable in the R ecosystem. This Python-based ...

If the lag-1 autocorrelation is -0.5 or more negative, the series may be overdifferenced.” (Robert Nau, Statistical Forecasting) “ If the lag-1 autocorrelation of the differenced series ACF is ...

Mike Dietze ([email protected]), in an email with subject heading “Ecological Forecasting Award”. The annual deadline for the nominations will be March 1. The award winner will receive a prize of $200 and ...

Abstract: The forecast for atmospheric and turbulence conditions above astronomical observatories is of interest to the astronomical community because it allows observations to be planned with maximum ...

Time series forecasting is a research area focused on predicting future values based on previously observed data points collected over time, leveraging statistical and machine learning techniques. It ...

It means that the statistical properties of the data, such as the mean, variance, or autocorrelation, change over time. This poses significant challenges for forecasting and inference, as it ...