Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...
Time series and spatial modelling encompass a wide array of statistical and computational techniques aimed at deciphering complex temporal trends and spatial dependencies within diverse natural and ...
Deployed internally at Ant International to manage cashflow and FX exposure on an hourly, daily and weekly basis, Falcon TST has achieved accuracy rates of over 90%, and cut the company’s FX costs by ...
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 47, No. 4 (December/décembre 2019), pp. 668-687 (20 pages) In this article, a semiparametric time-varying nonlinear vector ...
In the 21st century, as global trade expands and cargo volumes surge, ports face mounting pressure to operate efficiently. A key challenge lies in accurately predicting vessel turnaround time ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
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