Kobayashi, Kei
コバヤシ ケイ
Kobayashi, Kei
Faculty of Science and Technology Department of Mathematics/ProfessorBasic Information
Specialty
Theoretical statistics, Geometrical data analysis, Statistical machine learning, Bayesian prediction
Paper Review Qualification
Thesis Guide Qualification in the Graduate School of Science and Technology : Master/Doctor
Biography
Research experience
The Institute of Statistical Mathematics Department of Mathematical Analysis and Statistical Inference Assistant Professor
JSPS Research Fellowships for Doctor Course Student
JSPS Research Fellowships for Postdoctoral Fellows
Research
Reseach overview
My main research topic is about theoretical statistics and it includes model selection and prediction theory. I am also interested in statistical analysis using mathematical structure of the models and the methods such as information geometry and algebraic statistics. One of the targets of my research is to develop statistically and mathematically feasible models for machine learning and to enhance accuracy of their methods.
Research Interests
- Theoretical Statistics
- Geometrical Statistics
- Statistical Machine Learning
- Mathematical Statistics
- Bayesian Prediction Theory
- Algebraic Statistics
Research areas
Statistical science
Statistical science