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 ...

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 ...

Jeff Wise explains how Australian scientists analyzed Inmarsat satellite pings and used the seventh ping arc to define a ...

Jeff Wise reviews progress in the MH370 seabed search and explains how Bayesian inference and Cromwell’s Rule change the odds that the wreckage lies in areas already searched. He also discusses his ...

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 ...

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 ...