Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

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 ...

Discrete-time hidden Markov models are a broadly useful class of latent variable models with applications in areas such as speech recognition, bioinformatics, and climate data analysis. It is common ...

Until recently, Markov models and analytical methods were fairly obscure mathematical techniques rarely applied outside of academic settings. The advent of functional safety standards, particularly ...

A 30-minute talk about Markov modeling generally, with specific reference to the seminal 1986 contribution of Professor Eaves, which described Markov processes for genetic and environmental variance ...

This is a preview. Log in through your library . Abstract This paper describes and compares several methods for computing stationary probability distributions of Markov chains. The main linear algebra ...

Heather Paulson from Paulson Management Group wrote a post for ReveNews.com titled “SEO Matrix’s- Markov Chaining and Term Vector Models“. It is basically a rundown of the fundamental SEO ranking ...