New Perspectives in Mathematical Statistics, 2nd Edition
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 409
Special Issue Editors
Interests: multivariate statistical analysis; (closed) skew normal distribution; stochastic frontier models under skew normal settings; machine learning and deep learning integration in statistics; copulas theory
Special Issues, Collections and Topics in MDPI journals
Interests: probability and stochastic processes; functional data analysis; financial time series
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to showcase cutting-edge developments and innovative approaches that push the boundaries of traditional methodologies in mathematical statistics. In an era characterized by rapidly advancing technology, increased data complexity, and interdisciplinary collaborations, this Special Issue seeks to highlight new perspectives of mathematical statistics and their role in addressing contemporary challenges. Contributions to this Special Issue will present novel methods, theoretical advancements, and practical applications aimed at advancing the field of mathematical statistics. By emphasizing new perspectives in mathematical statistics, our objective is to inspire researchers to explore unconventional avenues and foster a deeper understanding of statistics and their relevance to modern challenges across various disciplines.
This Special Issue will address a diverse range of topics, including but not limited to Bayesian statistics, statistical analysis for high-dimensional data, nonparametric statistics and distribution-free methods, machine learning integration in statistics, robust statistical inference, spatial statistics, time series analysis, statistical inference, and computational statistics.
We hope that this initiative will be attractive to researchers in the above areas. Researchers are invited to share their insights, methods, and findings, providing an overview of the latest trends and emerging perspectives in mathematical statistics, and we encourage you to submit your current results to be included.
Dr. Xiaonan Zhu
Prof. Dr. Jong-Min 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.
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
- Bayesian statistics
- statistical analysis for high-dimensional data
- nonparametric statistics
- distribution-free methods
- machine learning
- robust statistics
- spatial statistics
- time series analysis
- statistical inference
- computational statistics
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