2.2
Impact Factor
4.6
CiteScore
18 days
Time to First Decision

Computational Statistics and Data Analysis

This special issue belongs to the section “D1: Probability and Statistics“.

Special Issue Information

Dear Colleagues,

With the development of scientific techniques, computational statistics and data analysis have become increasingly important in diverse areas of science, engineering, and humanities, ranging from genomics and health sciences to economics, finance, and machine learning. To analyze the data in these fields, statistical methodology and computing for data analysis are fundamental to statistical modeling and data analysis, and have become hot topics in statistics.

In this Special Issue, we are inviting high-quality research papers in computational statistics and data analysis. We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to develop the statistical methodology and applications concerning data analysis.

Prof. Dr. Gaorong Li
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. 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

Bootstrapping
Causal inference
Classification
Data analytical strategies and methodologies applied in biostatistics
Dimension reduction of high-dimensional data analysis
Large-scale inference for Gaussian graphical models and covariance estimation
Longitudinal/panel data analysis
Massive networks
Medical statistics
Nonparametric and semiparametric models
Optimal portfolio
Robust statistics
Statistical methodology and computing for data analysis
Statistical methodology and computing for noise data, such as measurement error data, missing data, etc.
Sufficient dimension reduction methods in regression analysis
Variable/model selection for high-dimensional data

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