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Theme Overview
This theme is concerned with the application of statistical, econometric and machine learning methods to problems arising in economics, finance and business.
Theme Members
- Niloufar Abourashchi
- Gianluca Baio
- Alex Beskos
- Petros Dellaportas
- Jim Griffin (Theme Lead)
- Nuru Giritli
- Serge Guillas
- Sebastian Maier
- Ioanna Manolopoulou
- Giampiero Marra
Current and Recent Externally Funded Projects
- , PI: Baio
- Bayesian non-parametric modelling to understand product competition, PI: Manolopoulou
- Detecting Anomalies in Networks: The Case of VAT (Turing HSBC Economic Data Science Project), PI: Dellaportas
- Forecasting with Large Macroeconomic and Financial datasets in the Presence of Structural change (Turing HSBC Economic Data Science Project, PI: Dellaportas
- Hawkes processes to model slow-moving goods, PI: Manolopoulou
- , PI: Baio
- , PI: Baio
- Topic models for market baskets, PI: Manolopoulou