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 ...

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 ...
JSTOR Daily

Modelling modal gating of ion channels with hierarchical Markov models

Many ion channels spontaneously switch between different levels of activity. Although this behaviour known as modal gating has been observed for a long time it is currently not well understood.
JSTOR Daily

Nonparametric identification and maximum likelihood estimation for hidden Markov models

Nonparametric identification and maximum likelihood estimation for finite-state hidden Markov models are investigated. We obtain identification of the parameters as well as the order of the Markov ...
Nature

Probabilistic Model Checking and Markov Decision Processes

Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...
Insurancenewsnet.com

Data on Operations Science Described by Researchers at University of New South Wales Sydney (Modelling and Understanding Count Processes Through a Markov-modulated Non ...

2021 APR 07 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily-- Investigators publish new report on Science - Operations Science. According to news reporting out of Sydney, ...