Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Vol. 94, No. 2, THEMATIC ISSUE: The mountain Cryosphere — A holistic view on processes and their interactions (JUNE 2012), pp. 183-194 (12 pages) Published By: Taylor & Francis, Ltd. In this ...

This course is available on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is ...

Almost all of the data on the biological effects of ionizing radiation come from studies of high doses. However, the human population is unlikely to be exposed to such doses. Regulatory limits for ...

Anthony Mancuso, director, global head of risk modelling and decisioning at SAS, explains the importance of developing a fully capable credit modelling lifecycle to empower non-specialist personnel, ...

Modeling a railroad is hard. Railroads are large, linear pieces of civil engineering. So many modelers are drawn to the smallest scale they can use. Recently a new scale, named T, at 1:450 has been ...

This course is compulsory on the MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available on the MPhil/PhD in Statistics, MSc in Data ...