The generation of synthetic market data is widely seen as one of the most promising applications of sophisticated artificial intelligence models, such as generative adversarial networks (GANs) and ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Realistic models for multi-dimensional asset distributions are vital for stress testing and risk management. Many statistical learning tools need large datasets and lack transparency. Extending his ...