Integrative Approaches in Statistical Modeling and Machine Learning for Data Analytics and Data Mining

Dear Colleagues,

The integration of statistical methods with advanced computational techniques is a rapidly growing field, transforming how we extract insights from large and complex datasets. This synergy is crucial for addressing multifaceted challenges across various scientific and industrial domains. As data volumes grow exponentially, the need for robust statistical models and efficient computational algorithms to process and interpret this information becomes increasingly important. The application of these methodologies is driving innovations in areas such as healthcare, finance, and environmental science, underscoring the relevance of this research area.

The primary aim of this Special Issue is to promote the convergence between statistical modelling and advanced computational techniques, focusing on their application to data-driven discovery. By fostering a deeper understanding and development of these statistical and computational methods, we aim to push the boundaries of current knowledge and practice, contributing to the advancement of science and technology.

We invite submissions that explore the innovative intersection of statistical methodologies and computational techniques. Contributions may include original research articles, review papers, case studies, and methodological papers. Suggested themes for submission include, but are not limited to, the following:

• Big data analytics;
• Biostatistics;
• Data science;
• Machine learning;
• Multivariate analysis;
• Predictive analytics;
• Spatial modelling;
• Statistical learning;
• Statistical modeling;
• Survival analysis.

Dr. Victor Leiva
Dr. Cecília Castro
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 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. Stats 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 1600 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.