For some background, a Markov chain is a sequence of things where the (i+1) st element's state is dependent on nothing more then the i th element's state. A simple example is if the power is on ...

Bayesian statistics have made great strides in recent years, developing a class of methods for estimation and inference via stochastic simulation known as Markov Chain Monte Carlo (MCMC) methods. MCMC ...

A research team from the University of British Columbia and Google has announced that they have developed a method called '3D Gaussian Splatting as a Markov Chain Monte Carlo Method' that ...