Mathematical System Theory

We work on the theory and applications of statistics and machine learning. Statistics is playing important roles as a theoretical framework for fast-moving fields such as big data, data mining, and artificial intelligence. Statistics provides methodologies for inductive inference from data with consideration of randomness. Large amount of data is now easily obtained via high-throughput systems, and machine learning methods, in particular, are growing rapidly. By facing real-world data, we are developing new statistical methods with emphasis on mathematics and programming skills.

Academic Staff

  • Hidetoshi SHIMODAIRA [Professor]
  • Junya HONDA [Associate Professor]

  • Yugo NAKAYAMA [Assistant Professor]


  • Statistics
  • Machine Learning
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