Peida Zhan, Hong Jiao, Kaiwen Man, Lijun Wang, Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial, Journal of Educational and Behavioral Statistics, Vol. 44, No. 4 (August 2019), pp. 473 ...

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 ...

Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent ...

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 ...

In case you’re wondering what Bayesian modeling did for us, here are the corresponding maps from the raw data (weighted to adjust for voter turnout, but that doesn’t actually do that much anyway): ...

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 ...