For nearly a decade information about the life of Jeffrey Epstein has emerged in dribs and drabs. Now, in the wake of an American law passed in November compelling the release of prosecutors’ files, ...

We introduce a methodology for coding Bayesian statistical models in Python with JAX that follows the design pattern of the Stan probabilistic programming language. This allows a direct, line-by-line ...

The anti-ICE mobilization that unfolded around the killing of Alex Pretti in Minneapolis last week mirrored the methods used to overthrow governments and spark bloody revolutions around the globe, ...

Have you ever wished Excel could do more of the heavy lifting for you? Imagine transforming hours of tedious data cleaning and analysis into just a few clicks. That’s exactly what Microsoft’s ...

This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...

Allegiant’s agreement to acquire Sun Country Airlines will combine two U.S. leisure carriers with almost no route overlap—a network structure that could simplify regulatory review. During the winter ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: Bayesian networks are widely used for causal discovery and probabilistic modeling across diverse domains including healthcare, multi-dimensional data analysis, environmental modeling, and ...