Academic Papers

Division display  1 - 20 of about 112 /  All the affair displays >>
  1. Sparsest factor analysis for clustering variables: A matrix decomposition approach, Kohei Adachi & Nickolay T. Trendafilov, Advances in Data Analysis and Classification,(in Press) available as 'Online First': http://link.springer.com/article/10.1007/s11634-017-0284-z, 2017.04, Papers

  2. Sparse principal component analysis subject to prespecified cardinality of loadings, Kohei Adachi & Nickolay T. Trendafilov, Computational Statistics,Vol. 31, No. 4, 1403-1427, 2016.10, Papers

  3. Generalized joint Procrustes analysis, Kohei Adachi, Computational Statistics ,Volume 28, Issue 6, pp 2449-2464, 2013.11, Papers

  4. Factor Analysis with EM Algorithm Never Gives Improper Solutions when Sample Covariance and Initial Parameter Matrices Are Proper, Kohei Adachi, Psychometrika,Vol. 38, Issue 2, 380-394, 2013.03, Papers

  5. Three-Way Tucker2 Component Analysis Solutions of Stimuli x Responses x Individuals Data with Simple Structure and the Fewest Core Differences, Kohei Adachi, Psychometrika,Vol. 76, No. 2, Pp. 285-305, 2011.04, Papers

  6. Constrained Principal Component Analysis of Standardized Data for Biplots with Unit-Length Variable Vectors, Kohei Adachi, Advances in Data Analysis and Classification,Vol. 5, No. 1, Pp. 23-36, 2011.03, Papers

  7. Joint Procrustes Analysis for Simultaneous Nonsingular Transformation of Component Score and Loading Matrices, Kohei Adachi, Psychometrika,Vol. 74, 667-683, 2009.12, Papers

  8. Optimal Quantification of a Longitudinal Indicator Matrix: Homogeneity and Smoothness Analysis, K. Adachi, Journal of Classification,Vol.19 (No.2) 215-248, 2002.11, Papers

  9. Optimal Scaling of a Longitudinal Choice Variable with Time-Varying Representation of Individuals, K. Adachi, British Journal of Mathematical and Statistical Psychology,Vol.53 (No.2) 233-253, 2000.11, Papers

  10. Sparse Exploratory Factor Analysis, Nickolay T. Trendafilov, Sara Fontanella & Kohei Adachi, Psychometrika,82(3) 778-794, 2017.08, Papers

  11. Sparse Tucker2 analysis of three-way data subject to a constrained number of zero elements in a core array, Hiroki Ikemoto & Kohei Adachi, Computational Statistics and Data Analysis,98, 1-18, 2016.05, Papers

  12. Fixed factor analysis with clustered factor score constraint, Kohei Uno, Hironori Satomura, Kohei Adachi, Computational Statistics and Data Analysis,in Press, 2016.03, Papers

  13. Sparse versus simple structure loadings, Nickolay T. Trendafilov and Kohei Adachi, Psychometrika,80, 3, 776-790, 2015.09, Papers

  14. A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique, Kohei Adachi, Open Journal of Statistics,Vol. 5, 165-172, 2015.04, Papers

  15. A restrained condition number least squares technique with its applications to avoiding rank deficiency, Kohei Adachi, Journal of the Japanese Society of Computational Statistics,Vol. 26, 39-51 , 2013.12, Papers

  16. Oblique Rotation in Canonical Correlation Analysis Reformulated as Maximizing the Generalized Coefficient of Determination, Hironori Satomura and Kohei Adachi, Psychometrika,Vol. 78, No. 3, 526-537 , 2013.06, Papers

  17. Some Contributions to Data-fitting Factor Analysis with Empirical Comprisons to Covariance-fitting Factor Analysis, Kohei Adachi, Journal of Japanese Society of Computational Statistics,Vol. 25, No. 1, pp. 25-38, 2012.12, Papers

  18. Trend Vector Representation of Multiple Transition Matrices by Penalized Optimal Scaling, Kohei Adachi, Journal of the Japanese Society of Computational Statistics,Vol. 20, No. 1, pp. 19-37, 2007.12, Papers

  19. Correct Classification Rates in Multiple Correspondence Analysis, K. Adachi, Journal of the Japanese Society of Computational Statistics,Vol. 17, 1-20, 2005.05, Papers

  20. Oblique Promax Rotation Applied to the Solutions in Multiple Correspondence Analysis, K. Adachi, Behaviormetrika,Vol. 31 (No. 2), 1-12, 2004.09, Papers

To the head of this page.▲