Financial time series analysis

Interpretable and Scalable Data­Driven Models in Financial Time Series Analysis

The whole project aims to apply Bayesian non-parametrics (BNP) to establish a scalable and transparent framework for financial time series analysis in big data age and provide new insights into the development of interpretable data-driven market risk management. The project is supported by First Venture Funding from the Universityf of Edinburgh Business School.