There's a running debate in the marketing measurement community about whether MMM tools should be transparent or just accurate. The Bayesian camp argues that if you can't interrogate your model's ...

This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.

Everyone is arguing about whether AI can replace real consumers. While that debate runs, a quieter shift is moving — and this one actually works. 200 interviews in 48 hours. 93% cheaper. And it's ...

We describe how the AION project has tested a gradiometer configuration in the laboratory using 87 Sr, combining atomic clock technology with atom interferometry to form two macroscopically separated ...

A Bayesian hierarchical regression that estimates the expected run value of every pitch thrown in the 2025 MLB season, using Statcast tracking data from Baseball Savant. The model produces posterior ...

本项目利用贝叶斯层次模型、KLD/JSD 信息增益分析和 Dempster-Shafer 证据理论，融合 Sentinel-2 光谱指数与 VIIRS 夜间灯光数据 ...

For example, consider a medical professional viewing a mammography image of a dense breast classified as cancerous. Given the professional's knowledge that, for such cases, mammography is a poor ...

25 ], (2) effective sample size ESS>400 per chain for bulk and tail, and (3) zero divergent transitions [ 26 ]. We used PyMC v5.0 for all analyses [ 27 ]. 3.3.3 Posterior predictive checks We ...