Forecasting for Social Good opening at University of Oxford
Forecasting for vaccine supply chain, a presentation in the Forecasting for Social Good workship at University of Oxford
This presentation summarise my projects with organisations that involve forecasting, machine learning and modeling.
We discuss the perfromance of temporal aggregation approaches and examine the association between the original time series features and the performance of temporal aggregation approaches using machine learning
We discuss the perfromance of temporal aggregation approaches. We assess the forecast combination of temporal aggregation and investigate how temporal aggregation affects time series features. We examine the association between the original time series features and the performance of approaches using machine learning
This seminar provides an overview of the research dealing with aggregation and hierarchical forecasting