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

1 月 13 日，美国食品药品监督管理局（Food and Drug Administration, FDA）发布了一份指导草案，正式表态支持在药物和生物制品临床试验中使用贝叶斯方法论（Bayesian Methodology）。图 | ...

Bayesian methods have emerged as a pivotal framework in the design and analysis of clinical trials, offering a systematic approach for updating evidence as new data become available. By utilising ...

This draft guidance provides guidance to sponsors and applicants submitting investigational new drug applications (INDs), new ...

The U.S. Food and Drug Administration (FDA) has issued new draft guidance modernizing statistical methodologies used in ...

Bayesian estimation methods form a dynamic branch of statistical inference, utilising Bayes’ theorem to update probabilities in light of new evidence. This framework combines prior knowledge with ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

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

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, ...

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 ...

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 ...