Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.

The most recent class of control techniques to be used are collectively referred to as adaptive control. The most recent class of control techniques to be used are collectively referred to as adaptive ...

We describe adaptive Markov chain Monte Carlo (MCMC) methods for sampling posterior distributions arising from Bayesian variable selection problems. Point-mass mixture priors are commonly used in ...

In 2007, mathematicians from the University of Exeter showed that the freeway traffic jams that appear to occur for no reason are actually the result of a "backward traveling wave" initiated when a ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

Opinion: Companies developing AI-enabled health-care technologies should treat regulatory and IP strategies as parallel, ...

Picture this: As a Covid-19 patient fights for her life on a ventilator, software powered by artificial intelligence analyzes her vital signs and sends her care providers drug-dosing recommendations — ...