Osaka University - Division of Mathematical Science

Data Science Research Group         (Japanese page)

An important purpose of multivariate analysis is to identify any relations among many variables based on statistical data. The recent topics in this field are new modeling and statistical causal inference. In this research group, we apply mathematics and computers extensively to study structural equation modeling, graphical modeling, and independent component analysis as well as survival analysis in biostatistics. Our research includes methodological and application aspects.


Representative publications

  • Kano, Y. and Harada, A. (2000). Stepwise variable selection in factor analysis. Psychometrika. 65(1), 7-22.

  • Kano, Y. (1997). Beyond third-order efficiency. Sankhya. 59(2), 179-197.

  • Kano, Y. (1990). Noniterative estimation and the choice of the number of factors in exploratory factor analysis. Psychometrika. 55, 277-291.