Markov Chains : The Strange Math That Predicts Almost Anything

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
inc42

What Is Markov Chain Monte Carlo (MCMC)? Here’s All You Need to Know

What Is Markov Chain Monte Carlo? Markov Chain Monte Carlo (MCMC) is a powerful technique used in statistics and various scientific fields to sample from complex probability distributions. It is ...
Nature

Quantum Markov Chains and Phase Transitions

Quantum Markov chains (QMCs) represent a natural quantum extension of classical Markov processes, encapsulating memoryless dynamics within quantum systems. They offer a powerful framework to model non ...
Nature

Markov Chains and Hidden Markov Models

Markov chains provide a fundamental framework for modelling stochastic processes, where the next state depends solely on the current state. Hidden Markov models (HMMs) extend this framework by ...
JSTOR Daily

ERGODIC THEORY FOR CONTROLLED MARKOV CHAINS WITH STATIONARY INPUTS

Consider a stochastic process X on a finite state space X = {1,..., d}. It is conditionally Markov, given a real-valued “input process” ζ. This is assumed to be small, which is modeled through the ...
BizTimes

Marquette names Marko Bastl as next director of its supply chain management center

Marquette University has named Marko Bastl as its next director of its Center for Supply Chain Management. Bastl has been an associate professor of supply chain management with Marquette since August ...
Hackaday

There’s No AI In A Markov Chain, But They’re Fun To Play With

Amid all the hype about AI it sometimes seems as though the world has lost sight of the fact that software such as ChatGPT contains no intelligence. Instead it’s an extremely sophisticated system for ...