We introduce a new framework for counterparty risk model backtesting based on Bayesian methods. This provides a conceptually sound approach for analyzing model performance that is also straightforward ...

Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...

From smarter hypothesis testing with e-values to AI systems that model emotions, Bayesian methods and probabilistic reasoning are transforming how machines—and humans—make decisions under uncertainty.

The US FDA has issued draft guidance supporting the use of Bayesian statistical models in drug and biologic trials, enabling sponsors to integrate prior and real-world data into study designs. This ...

SEED-SET enhances ethical evaluation of autonomous systems through a hierarchical Bayesian framework, optimizing alignment ...