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 …

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 …

the field of the electricity price forecasting. Thus, it gives a new impact for further research enabling development of …

uses daily Taiwan Stock Exchange Capitalization Weighted Stock Index as the forecasting target. Regime switches in in … applied to other time series, such as Dow Jones or NASDAQ. Originality/value – Previous studies contribute to the forecasting … of regime switches. The forecasting results are validated with the real event. One of the forecasted regime switches …

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

forecasting methods. The present paper critically evaluates the electricity demand forecasting methodology and proposes a …

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