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 fastmoving 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 highthroughput systems, and machine learning methods, in particular, are growing rapidly. By facing realworld 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]
Research
 Statistics
 Machine Learning