Methods and Applications in Multivariate Statistics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 2984
Special Issue Editors
Interests: hypotheses testing; high-dimensional data analysis; semiparametric regression models; causal inference
Special Issue Information
Dear Colleagues,
Multivariate statistics which deal with multidimensional data play critical role in many scientific areas, with applications ranging from economics, finance, and psychology to public health, epidemiology, and genomics. The theories and methods of multivariate statistics have developed quickly. However, with the development of scientific techniques, the dimensions of the data are very large, growing far larger than even larger the previously than the sample size. New theories and methods of multivariate statistics are required to answer new questions in modern data analysis.
In this Special Issue, we are seeking to publish high-quality research papers on the subject of Methods and Applications in Multivariate Statistics. We invite scholars to contribute original research articles as well as review articles that will stimulate the continuing efforts to develop statistical theory, methodology and applications concerning multivariate statistics.
Prof. Dr. Xu Guo
Dr. Xuehu Zhu
Guest Editors
Manuscript Submission Information
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Keywords
- hypothesis testing
- classification
- dimension reduction of multidimensional data analysis
- variable/model selection for high-dimensional data
- statistical inference
- longitudinal/panel data analysis
- nonparametric and semiparametric models
- robust statistics
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