Researchers Il Memming Park and Jonathan W. Pillow have formulated an explicit Bayesian theory of efficient coding that ...

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 ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

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 ...

Jeff Wise reviews progress in the MH370 seabed search and explains how Bayesian inference and Cromwell’s Rule affect the ...

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 ...