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Explore the foundational principles of statistical theory and its advanced applications through random matrices. This field is crucial for understanding complex systems and high-dimensional data analysis, offering powerful tools for modeling, inference, and prediction in modern mathematical statistics.

Random Matrix Theory (RMT) offers a robust mathematical framework with profound applications, particularly in multivariate statistics for analyzing complex, high-dimensional data. Its insights are also critically important in wireless communications, enhancing our understanding of channel capacity, interference, and network performance.