- 2.5Impact Factor
- 5.5CiteScore
- 20 daysTime to First Decision
Statistics in Data Science: Latest Methods and Applications
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
This Special Issue is dedicated to the compilation of research and the latest activities regarding the role that statistics plays in data science. It targets the combination of existing or development of new statistical methods for data science purposes. All aspects of data science are of interest: data collection, data preparation, machine learning, and communication of results. Submissions can both be of theoretic nature as well as demonstrate concrete applications. Potential topics may include the handling of missing values, the robustification of data science techniques, mixed models, the role of the p-value in data science, or the wide field of explainable machine learning. Researchers are invited to submit original papers or reviews.
Prof. Dr. Maximilian Pilz
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences 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 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
- data science
- statistics
- data mining
- robust statistics
- missing values
- multiple imputation
- explainable machine learning
- mixed models
- p-value
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Published Papers
Get Alerted
Add your email address to receive forthcoming issues of this journal.
