This article presents a new prior setting for high-dimensional generalized linear models, which leads to a Bayesian subset regression (BSR) with the maximum a posteriori model approximately equivalent ...

We apply a linear Bayesian model to seismic tomography, a high-dimensional inverse problem in geophysics. The objective is to estimate the three-dimensional structure of the earth's interior from data ...

Alec Hartle and Paul Sands illustrate the ideal observer model used in the study — a statistical framework based on Bayes’ Rule that helped reveal differences in brain chemistry between Parkinson’s ...

A study of over 6,800 patients identifies key pathways driving severe asthma exacerbation risk, highlighting roles for eosinophils, FeNO, and FEV₁.

Meridian, Google’s new open-source Marketing Mix Model (MMM), has entered the rapidly evolving market for advanced marketing analytics and forecasting tools. This article explores Meridian’s key ...