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 ...
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 ...
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