Can mass shootings be forecast? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within ...

The clinical common sense that "if you can reduce medication, that is the correct answer" does not hold true for individual patients. Unless you update the "prior probability" you believe in with ...

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

"Drinking plenty of milk makes bones stronger"—this belief has been a staple of nutritional education for the past 70 years. However, looking at meta-analyses of observational studies, the ...

How does one model a simple cell-signaling pathway? Consider a simple example consisting of a stimulant, an extracellular signal, an inhibitor of the signal, a G protein–coupled receptor, a G protein ...

Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and ...

This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Nate Silver, baseball statistician turned political analyst, gained a lot of attention during the 2012 United States elections when he successfully predicted the outcome of the presidential vote in ...