Research Topic · Peer-Reviewed

Markov Models

Markov models are mathematical models used to study the transitions of a system over time. They are used to analyze the likelihood of movement from one state to another within a given timeframe. Markov models can be used in a variety of areas including finance, healthcare, engineering, and more. By modeling the tran…

Curated from this journal's research 📚 1 peer-reviewed article cited 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Markov models are mathematical models used to study the transitions of a system over time. They are used to analyze the likelihood of movement from one state to another within a given timeframe. Markov models can be used in a variety of areas including finance, healthcare, engineering, and more. By modeling the transition probabilities of individual states, Markov models make predictions about the behaviour of a system over time. This can be used to make decisions about how to best handle situations and optimize processes. The utility of Markov models has made them a powerful tool for scientists and business people alike.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.