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► Journal BrowserSpecial Issue "Markov-Chain Modelling and Applications"
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".
Deadline for manuscript submissions: 28 February 2022.
Special Issue Editors
Interests: business and tourism; resource and service management; water resources management; water governance; sustainable rural development; financial economics; accounting and management; sustainability; entrepreneurship; innovation; quality and environmental management systems
Special Issues and Collections in MDPI journals
Interests: portfolio management; financial econometrics; sustainable investment; pension funds; algorithmic trading
Interests: business and tourism; resource and service management; water resources management; water governance; sustainable rural development; sustainability; entrepreneurship; innovation; quality and environmental management systems
Special Issues and Collections in MDPI journals
Special Issue Information
Dear Colleagues,
The Markov chain, also known as the Markov model or Markov process, is defined as a special type of discrete stochastic process in which the probability of an event occurring depends only on the immediately preceding event. In this regard, if the present state of an event is known, additional information from the past will be useful to make the best prediction about its future. Its applications are very diverse in multiple fields of science, including meteorology, genetic and epidemiological processes, financial and economic modelling, music generation, cyber security, and the development of artificial intelligence. Currently, Markov chains as statistical tools allow us to explain the natural and social reality in which we live, and are used to support decision-making.
In this framework, this Special Issue aims to compile novel research papers in which the Markov chain is applied in numerous areas of knowledge.
The relevant topics are:
- Markov processes in the calculation of probabilities.
- Application of the Markov chain in finance, economics, and actuarial science.
- Application of Markov processes in logistics, optimization, and operations management.
- Application of the Markov chain in study techniques in biology, human or veterinary medicine, genetics, epidemiology, or related medical sciences.
- Development of models and technological applications in computer security, internet and search criteria, big data, data mining, and artificial intelligence with Markov processes.
- Application of the Markov chain in Earth sciences such as geology, volcanology, seismology, meteorology, etc.
- Use of the Markov chain in physics, astronomy, or cosmology.
- Theoretical developments related to Markov processes and probability calculation.
Other interesting and related topics.
Prof. Dr. José Álvarez-García
Prof. Dr. Oscar V. De la Torre-Torres
Prof. Dr. María de la Cruz del Río-Rama
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Markov chains
- Markov model
- Stochastic processes
- Analysis of behavior
- Probability theory
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: The Markovian pattern of social deprivation for Mexican people with diabetes
Authors: José Carlos Ramírez; Francisco Ortiz-Arango; Leovardo Mata
Affiliation: 1. Fellow-researcher at the Department of Economic Studies, El Colegio de la Frontera Norte, Tijuana, Mexico, [email protected]
2. Fellow-researcher at Universidad Panamericana, CDMX, Mexico, [email protected]
3. Fellow-researcher at Anahuac-Mexico-Norte University, [email protected]
Abstract: This paper aims to determine the Markovian pattern of the social factors influencing poverty in Mexicans with diabetes mellitus type 2 (DM2). Using a Hidden Markov Model, we estimate the latent states and ergodic vectors for diabetic and non-diabetic populations. The main finding is that the long-term state-dependent probabilities for people with diabetes show a darker perspective of impoverishment than the rest of the Mexicans. In the absence of radical economic improvements, people with diabetes will likely become the poorest of Mexico's poor.