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 ...

Inequality of opportunity has great normative importance. This has led to a literature on measuring the part of overall inequality that is due to circumstances outside of a person’s control. We ...

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

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 ...

Using Bayesian models, you can add your past knowledge about how your media performs into Meridian. This includes insights from previous experiments, other marketing mix models, industry know-how ...