Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

FDA proposes framework clinical trial designs to guide Bayesian methods, improving efficiency in drug development for rare and pediatric conditions.

In today’s ACT Brief, we examine what will separate sponsors that scale AI beyond pilots in 2026, break down the FDA’s new ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...