Applications of Statistical and Mathematical Models
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 779
Special Issue Editors
Interests: nonparametric statistics; geostatistics; neural networks and machine learning; data science
Interests: complex network system; artificial intelligence; neural network; long range dependence; nonparametric function testing and estimation; economic crisis modeling; financial trading system; Bayesian theory; spatial statistics
Special Issue Information
Dear Colleagues,
Focus: Our primary focus in this Special Issue is to delve deep into the realm of advanced applications for statistical and mathematical models when tackling the intricacies of real-life situations. Within this exploration, our mission is to uncover the intricate interconnections between modeling and various other domains, encompassing economics, biology, engineering, and the social sciences.
Scope: This Special Issue includes a wide range of topics, including, but not limited to, the following:
- Statistical and mathematical modeling both computational and experimental in nature;
- Machine learning, and data science;
- Complex systems such as ecological networks, financial markets, and social networks;
- Policy and decision making;
- Risk assessment from healthcare to environmental management.
Purpose: The purpose of this Special Issue is to expand the boundaries of knowledge and application in the realm of statistical and mathematical models, providing a platform for researchers to exchange innovative methodologies and discoveries.
Relationship to Existing Literature: In relation to the existing literature, this Special Issue is a natural extension, introducing novel applications of statistical and mathematical models across diverse disciplines. It complements prior research by offering fresh insights, methodologies, and real-world case studies that vividly illustrate the effectiveness of these models in unraveling complex challenges and enriching the existing body of knowledge.
Dr. Tamer M Elbayoumi
Prof. Dr. Tae Yoon Kim
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 submissions that pass pre-check are 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.
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Keywords
- mathematical modeling
- statistical modeling
- complex systems
- machine learning
- data science
- decision making
- risk assessment
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