Skip to main content

8 Result(s)

within Ji Yeh Choi Remove this filter

and

  1. No Access

    Article

    A Unified Neural Network Framework for Extended Redundancy Analysis

    Component-based approaches have been regarded as a tool for dimension reduction to predict outcomes from observed variables in regression applications. Extended redundancy analysis (ERA) is one such component-...

    Ranjith Vijayakumar, Ji Yeh Choi, Eun Hwa Jung in Psychometrika (2022)

  2. No Access

    Article

    Bayesian Mixture Model of Extended Redundancy Analysis

    Extended redundancy analysis (ERA), a generalized version of redundancy analysis (RA), has been proposed as a useful method for examining interrelationships among multiple sets of variables in multivariate lin...

    Minjung Kyung, Ju-Hyun Park, Ji Yeh Choi in Psychometrika (2022)

  3. No Access

    Article

    An empirical comparison of generalized structured component analysis and partial least squares path modeling under variance-based structural equation models

    Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are component-based, or also called variance-based, structural equation modeling (SEM). They define latent varia...

    Gyeongcheol Cho, Ji Yeh Choi in Behaviormetrika (2020)

  4. No Access

    Article

    Functional Parallel Factor Analysis for Functions of One- and Two-dimensional Arguments

    Parallel factor analysis (PARAFAC) is a useful multivariate method for decomposing three-way data that consist of three different types of entities simultaneously. This method estimates trilinear components, e...

    Ji Yeh Choi, Heungsun Hwang, Marieke E. Timmerman in Psychometrika (2018)

  5. No Access

    Chapter and Conference Paper

    Three-Way Generalized Structured Component Analysis

    Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling, where components of observed variables are used as proxies for latent variables. GSCA has thus fa...

    Ji Yeh Choi, Seungmi Yang, Arthur Tenenhaus, Heungsun Hwang in Quantitative Psychology (2018)

  6. No Access

    Article

    A Unified Approach to Functional Principal Component Analysis and Functional Multiple-Set Canonical Correlation

    Functional principal component analysis (FPCA) and functional multiple-set canonical correlation analysis (FMCCA) are data reduction techniques for functional data that are collected in the form of smooth curv...

    Ji Yeh Choi, Heungsun Hwang, Michio Yamamoto, Kwanghee Jung… in Psychometrika (2017)

  7. No Access

    Article

    Fuzzy Clusterwise Functional Extended Redundancy Analysis

    Functional data refer to data that are assumed to be generated from an underlying smooth function varying over a continuum such as time or space. Functional linear models (FLMs) and functional extended redunda...

    Tianyu Tan, Ji Yeh Choi, Heungsun Hwang in Behaviormetrika (2015)

  8. No Access

    Article

    Hierarchically Structured Fuzzy c-Means Clustering

    Fuzzy c-means clustering is a useful method for capturing group-level heterogeneity of objects. This method estimates cluster centroids and fuzzy memberships simultaneously. A potential limitation of fuzzy c-mean...

    Hye Won Suk, Ji Yeh Choi, Heungsun Hwang in Behaviormetrika (2013)