Advances in Functional and Topological Data Analysis
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: closed (27 December 2024) | Viewed by 2779
Special Issue Editors
Interests: functional analysis (partially ordered linear spaces); convex analysis; vector optimization; financial mathematics (mathematical aspects of risk measurement and rsk management; derivatives’ pricing); mathematical economics (general equilibrium theory)
Special Issues, Collections and Topics in MDPI journals
Interests: computational statistics; digital finance; extreme value theory; financial econometrics; quantitative finance; risk management; volatility and times series analysis
Special Issues, Collections and Topics in MDPI journals
Interests: financial economics; financial econometrics; risk management; banking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite you to submit papers to this Special Issue, "Advances in Functional and Topological Data Analysis".
The aim of this Special Issue is to advance mathematical Data Analysis in relation to Functional Analysis and Topology. This approach supports Econometrics and Finance research. Potential papers may use Topology and Functional Analysis to fit regression models or multivariate analysis and test metrics in a clear way. This Special Issue also welcomes papers on realized Data Analysis to encourage the use of a variety of models that rely on Functional Analysis and Topology. The scope is to support interaction between applied mathematicians and economists.
Suggested themes/keywords:
- Applications of operator theory in statistics;
- Applications of topology in statistics;
- Goodness-of-fit metrics for regression models;
- Goodness-of-fit metrics for parameters' estimation;
- Space data analysis;
- Significance of variables in regression and multivariate analysis;
- Model uncertainty;
- Components of uncertainty and their modeling;
- Metric spaces and manifolds in statistics and econometrics.
In this Special Issue, reviews are also welcome.
We look forward to receiving your contributions.
Dr. Christos Kountzakis
Dr. Konstantinos Gkillas
Prof. Dr. Christos Floros
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.
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. Axioms is an international peer-reviewed open access monthly 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 2400 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
- Functional data analysis
- Topological data analysis
- Model uncertainty
- Applications of operator theory in statistics
- Applications of topology in statistics
- Goodness-of-fit metrics for regression models
- Goodness-of-fit metrics for parameters' estimation
- Space data analysis
- Metric spaces and manifolds in statistics and econometrics
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