Singular Spectrum Analysis (SSA) is a powerful tool of analysis and forecasting of time series. The main features of …, forecasting and parameter estimation are demonstrated using case studies. These studies are supplemented with accompanying code …

-step-ahead forecastabilities by employing four major forecasting evaluation criteria, and compares two different currencies— the Pakistan rupee and …

behaviors in any given situation. This work presents several scalable frameworks for modeling and forecasting agent behavior …, particularly in the realm of international security dynamics. A probabilistic logic formalism for modeling and forecasting behavior … of this problem, forecasting methods are also introduced that operate directly on time series data, rather than an …

of multi-channel customer contact, organizational decision-makers often rely on robust but simplistic forecasting methods …. Although forecasting literature indicates that incorporating additional information into time series predictions adds value by … for call center arrivals' forecasting that is able to capture the dynamics of a time series and to include contextual …

This study was designed: (a) to investigate a simple neural-network solution to forecasting the special class of time … special class of linear time series and that the two-layered network can be a useful forecasting alternative to the widely …

In this paper, a Bayesian version of the exponential smoothing method of forecasting is proposed. The approach is based …