Use forecasting today to optimize for tomorrow! Time series forecasting is the use of a model to predict future values based on previously observed values. It is one of the prime tools of any buisness ...

Polynyas, areas of open water embedded within sea ice, are a key component of ocean–atmosphere interactions that act as hotspots of sea-ice production, bottom-water formation, and primary productivity ...

The mean (SD) follow-up time among men who were free of CHD at baseline (n = 1958) was 21.4 (10.4) years, and 717 (37%) of them had the disease and 301 (15%) died for CHD before the end of follow-up.

Abstract: Modelling real-world time series can be challenging in the absence of sufficient data. Limited data in healthcare, can arise for several reasons, namely when the number of subjects is ...

Additive noise has been known for a long time to not change a systems stability. The discovery of stochastic and coherence resonance in nature and their analytical description has started to change ...

Studies examining the nonfatal health outcomes of exposure to air pollution have been limited by the number of pollutants studied and focus on short-term exposures. We examined the relationship ...

2023 Update: We discuss our plans for the future of Prophet in this blog post: facebook/prophet in 2023 and beyond Prophet is a procedure for forecasting time series data based on an additive model ...