大阪大学 人間科学研究科 足立研究室

Members & Publications

Members

Prof.

Kohei Adachi (Vice President of the Japanese Society of Computational Statistics, Elected Member in the International Statistical Institute) Click Here for Activities

D1W

Naoto Yamashita Click Here for Activities

D3

Hiroki Ikemoto

D2

Kohei Uno Click Here for Activities

M2

Li JiYao

M1

Cai Jingyu, Gaku Tsujii

RS

Y.Yamamoto

B4

Chiye Togawa, Fumi Nakashima

B3

Tatsuma Ichikawa, Masamichi Ito, Yusuke Ito, Haruka Yonoichi

Major Publications (since 2009)

  • Adachi, K. (2016). Matrix-based introduction to multivariate data analysis. Springer.
  • Mori, Y., Kuroda, M., & Makino, N. (2016). Nonlinear principal component analysis and its applications. Springer.
  • Ikemoto, H. & Adachi, K. (2016). Sparse Tucker2 analysis of three-way data subject to a constrained number of zero elements in a core array. Computational Statistics and Data Analysis, 98, 1-18.
  • Adachi, K. & Trendafilov, N. T. (2016). Sparse principal component analysis subject to prespecified cardinality of loadings.Computational Statistics, 31, 1403-1427.
  • Uno, K., Satomura, H., & Adachi, K. (2016). Fixed factor analysis with clustered factor score constraint. Computational Statistics and Data Analysis, 94, 265–274.
  • Adachi, K. (2016). Three-way principal component analysis with its applications to psychology. In T. Sakata (Ed.), Applied matrix and tensor variate data analysis, pp. 1-21. Springer.
  • Trendafilov, N. T. & Adachi, K. (2015). Sparse versus simple structure loadings. Psychometrika, 80, 776-790.
  • Adachi, K. (2015). A new algorithm for generalized least squares factor analysis with a majorization technique. Open Journal of Statistics, 5, 165-172.
  • Makino, N. (2015). Generalized data-fitting factor analysis with multiple quantification of categorical variables. Computational Statistics, 30, 279-292.
  • Adachi, K. & Trendafilov, N. T. (2015). Sparse orthogonal factor analysis. In M. Carpita, E. Brentari., & E. M. Qannari (Eds.), Advances in latent variables, pp. 227-239. Springer.
  • Takahashi, R. & Makino, M. (2015). Pairwise constrained k-means via permutation matrix. Bulletin of the Computational Statistics of Japan, 28, 105-119 (in Japanese).
  • Adachi, K. (2015). Matrix-intensive approach to factor analysis. Japanese Journal of Statistics, 44, 363-382 (in Japanese).
  • Nakamura, Y. (2015). Nonmetric three-mode principal component analysis for qualitative data. Japanese Journal of Behaviormetrics, 42, 105-115 (in Japanese).
  • Satomura, H & Adachi, K. (2013). Oblique rotation in canonical correlation analysis reformulated as maximizing the generalized coefficient of determination. Psychometrika, 78, 526-537.
  • Adachi, K. (2013). Generalized joint Procrustes analysis. Computational Statistics, 28, 2449-2464.
  • Adachi, K. (2013). Factor analysis with EM algorithm never gives improper solutions when sample covariance and initial parameter matrices are proper. Psychometrika, 78, 380-394.
  • Adachi, K. (2013). A restrained condition number least squares technique with its applications to avoiding rank deficiency. Journal of the Japanese Society of Computational Statistics, 26, 39-51.
  • Hashimoto, S. (2013). Bayesian factor analysis for obtaining simplimax solutions with an unspecified number of zeros. Behaviormetrika, 40, 69-83.
  • Adachi, K. (2012). Some contributions to data-fitting factor analysis with empirical comprisons to covariance-fitting factor analysis. Journal of the Japanese Society of Computational Statistics, 25, 25-38.
  • Adachi, K. (2011). Three-way Tucker2 component analysis solutions of stimuli × responses × individuals data with simple structure and the fewest core differences. Psychometrika, 76, 285-305.
  • Adachi, K. (2011). Constrained principal component analysis of standardized data for biplots with unit-length variable vectors. Advances in Data Analysis and Classification5, 23-36.
  • Adachi, K. & Murakami, T. (2011). Nonmetric multivariate analysis: From principal component analysis to multiple correspondence analysis. Asakura-Shoten (in Japanese).
  • Adachi, K. (2011). Fixed size clustering with least squares permutation. Bulletin of Data Analysis of Japanese Classification Society, 1, 11-22 (in Japanese).
  • Adachi, K. (2009). Joint Procrustes analysis for simultaneous nonsingular transformation of component score and loading matrices. Psychometrika, 74, 667-683.
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