Bayesian graphical models are a useful tool for understanding dependence relationships among many variables, particularly in situations with external prior information. In high-dimensional settings, ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 3 (Jun., 2009), pp. 593-613 (21 pages) We propose a generic on-line (also sometimes called adaptive or ...

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.

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 ...