In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

Graphical models form a cornerstone of modern data analysis by providing a visually intuitive framework to represent and reason about the complex interdependencies among variables. In particular, ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...