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Mathematics

D-Index
37
Citations
8074
World Ranking
2445
National Ranking
96

Overview

Yoshio Takane is affiliated with the University of Victoria in Canada. Their research primarily spans the field of Mathematics, with a focus on several subfields including Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Applied Mathematics, and Artificial Intelligence.

The scientist's work addresses a range of topics, notably:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Economic and Environmental Valuation
  • Optimal Experimental Design Methods
  • Point processes and geometric inequalities
  • Bayesian Methods and Mixture Models
  • Sensory Analysis and Statistical Methods

The recent papers authored or co-authored by Yoshio Takane include:

  • "An algebraic theory of contrasts for Neyman's modified chi-square statistic" (2022), published in Behaviormetrika
  • "A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables" (2024), published in Computational Statistics

Frequent co-authors collaborating with Takane are:

  • Sébastien Loisel
  • Eric J. Beh
  • Rosaria Lombardo
  • P.G.M. van der Heijden

Their work has appeared primarily in the publication venues:

  • Computational Statistics
  • Behaviormetrika

Best Publications

  • Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features.

    Yoshio Takane;Forrest W. Young;Jan de Leeuw

  • ON THE RELATIONSHIP BETWEEN ITEM RESPONSE THEORY AND FACTOR ANALYSIS OF DISCRETIZED VARIABLES

    Yoshio Takane;Jan de Leeuw

  • GENERALIZED STRUCTURED COMPONENT ANALYSIS

    Heungsun Hwang;Yoshio Takane

  • Additive structure in qualitative data: An alternating least squares method with optimal scaling features

    Jan de Leeuw;Forrest W. Young;Yoshio Takane

  • REGRESSION WITH QUALITATIVE AND QUANTITATIVE VARIABLES: AN ALTERNATING LEAST SQUARES METHOD WITH OPTIMAL SCALING FEATURES

    Forrest W. Young;Jan de Leeuw;Yoshio Takane

  • The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features

    Forrest W. Young;Yoshio Takane;Jan de Leeuw

  • PRINCIPAL COMPONENT ANALYSIS WITH EXTERNAL INFORMATION ON BOTH SUBJECTS AND VARIABLES

    Yoshio Takane;Tadashi Shibayama

  • Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

    Haruo Yanai;Kei Takeuchi;Yoshio Takane

  • Constrained Principal Component Analysis: A Comprehensive Theory

    Yoshio Takane;Michael A. Hunter

  • Multidimensional Scaling I

    Kwanghee Jung;Yoshio Takane

  • Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling

    Heungsun Hwang;Yoshio Takane

  • ALSCAL: A nonmetric multidimensional scaling program with several individual-differences options

    Forrest W. Young;Yoshio Takane;Rostyslaw Lewyckyj

  • Multidimensional successive categories scaling : A maximum likelihood method

    Yoshio Takane

  • Fuzzy Clusterwise Generalized Structured Component Analysis

    Heungsun Hwang;Wayne S. Desarbo;Yoshio Takane

  • NONMETRIC MAXIMUM LIKELIHOOD MULTIDIMENSIONAL SCALING FROM DIRECTIONAL RANKINGS OF" SIMILARITIES

    Yoshio Takane;J. Douglas Carroll

  • An Extension of Multiple Correspondence Analysis for Identifying Heterogeneous Subgroups of Respondents

    Heungsun Hwang;Heungsun Hwang;William R. Dillon;Yoshio Takane

  • Constrained principal component analysis reveals functionally connected load‐dependent networks involved in multiple stages of working memory

    Paul Metzak;Eva Feredoes;Yoshio Takane;Liang Wang

  • Relationships among several methods of linearly constrained correspondence analysis

    Yoshio Takane;Haruo Yanai;Shinichi Mayekawa

  • MULTIDIMENSIONAL SCALING MODELS FOR REACTION TIMES AND SAME-DIFFERENT JUDGMENTS

    Yoshio Takane;Justine Sergent

  • Constrained Principal Component Analysis: Various Applications.

    Michael A. Hunter;Yoshio Takane

  • Generalized Inverse Matrices

    Haruo Yanai;Kei Takeuchi;Yoshio Takane

Frequent Co-Authors

Jan de Leeuw
Jan de Leeuw University of California, Los Angeles
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Todd S. Woodward
Todd S. Woodward University of British Columbia
Michael A. Hunter
Michael A. Hunter University of Victoria
Thomas R. Shultz
Thomas R. Shultz McGill University
Jos M. F. ten Berge
Jos M. F. ten Berge University of Groningen
Wayne S. DeSarbo
Wayne S. DeSarbo Pennsylvania State University
Justine Sergent
Justine Sergent Montreal Neurological Institute and Hospital
John J. McArdle
John J. McArdle University of Southern California
Hervé Abdi
Hervé Abdi The University of Texas at Dallas

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