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 ...

APPM 4560/5560 Markov Processes, Queues, and Monte Carlo Simulations Brief review of conditional probability and expectation followed by a study of Markov chains, both discrete and continuous time.

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 ...