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

DNA analysis of cultural artifacts shows diverse biological profiles, but contamination and mixed signals complicate ...

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...

This study proposes an important new approach to analyzing cell-count data that are often undersampled and cannot be correctly assessed with traditional statistical analyses. The presented case ...

As we wait for the seabed search for MH370’s wreckage to restart, it’s worth taking the time to reflect about what we’ve learned from the search thus far, and what future scanning will tell us about ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Google officially launched Meridian, its open-source marketing mix model designed to help marketers allocate budgets more effectively in a dynamic digital landscape. After rigorous testing with ...

Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...