Areas of Research / Professional Expertise
Yoshio Takane has a long standing interest in developing statistical techniques to analyze psychological data. His contributions to the field include developments of nonmetric methods of multivariate analysis, maximum likelihood multidimensional scaling, choice models incorporating systematic individual differences, principal component analysis with linear constraints on both rows and columns of a data matrix, analysis of knowledge representation in neural network models among others.
His most recent interests include regularization techniques for various multivariate data analysis methods, acceleration methods for iterative model fitting, development of structural equation models for analysis of brain connectivity, various kinds of singular value decomposition (e.g., sparse SVD, robust SVD), etc.
Matrix methods in psychometrics
Computational models for cognition
Analysis of brain signals