Special Issue: Multivariate Statistics: Theory and Its Applications
Guest Editor
Prof. Xu Guo
School of Statistics, Beijing Normal University, Beijing, China
Email: xustat12@bnu.edu.cn
Manuscript Topics
Multivariate statistics which deal with multidimensional data are important tools in many scientific areas. The theories of multivariate statistics have developed quickly with important applications in different areas. However, nowadays, the data is becoming big with large dimension and also large sample size. We thus need to develop new theories and methods of multivariate statistics.
Potential topics include, but are not limited to:
• Applications of multivariate statistics
• Hypothesis testing
• Classification
• Variable selection for high-dimensional data
• Statistical inference for high-dimensional data
• Nonparametric and semiparametric models
• Robust statistics
• Online learning of high-dimensional data
• Transfer learning of regression models
• Distributed learning of complex multidimensional data
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