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

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

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

在薄膜材料生长领域，传统的物理气相沉积（physical vapor deposition, ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Older adults who participate in religious services often report better mental health than those who do not, but the reasons ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Neutrinos pass through you every second. Now, two mega-experiments have finally pinned down one of their deepest traits.

The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...

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 | ...