New Advances in Statistics and Econometrics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 2742
Special Issue Editors
Interests: machine learning; deep learning; biostatistics; bioinformatics; genetic epidemiology; nonparametric and semi-parametric methods; econometrics; financial statistics; prediction; agricultural statistics; computer vision; statistical inference; statistical applications
Interests: missing data analysis; survey sampling; empirical likelihood; machine learning methods; causal inference; biostatistics; American Indian health disparities; tobacco research; cancer prevention and control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the development of scientific techniques, statistics and econometrics have been developed with new methods and analyses. Statistics and econmetrics have been quickly advancing to better analyze more complex and massive data. Advances in statistics and econometrics have been made in a range of areas from biostatistics, bioinformatics, biology, health sciences, biological, agricultural economics, finance, business, power, and electricity markets. To better analyze data in the fast-changing world, statistics and econometrics have also been advanced to combine deep learning, machine learning, computing, computer vision, image analysis, image phenotyping, survey, prediction, modeling, missing data, etc.
In this Special Issue, we invite high-quality research papers on new advances in statistics and econometrics. We invite investigators to contribute original research articles as well as review articles that will advance statistical and econometric methodologies with data analysis applications.
Dr. Zheng Xu
Dr. Sixia Chen
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. 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 2600 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
- machine learning and deep learning
- biostatistics
- bioinformatics
- econometrics
- health statistics
- financial statistics
- financial markets
- next-generation sequencing data analysis
- statistical genetics
- association studies
- computational statistics
- image analysis and computer vision
- survey sampling
- novel statistical methods with applications
- novel econometric methods with applications
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