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 ...
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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