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Creators/Authors contains: "Cui, Chengyu"

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  1. ; ; ; (, Annals of applied statistics)
    Free, publicly-accessible full text available October 31, 2026
  2. ; ; (, Psychometrika)
    Abstract Cognitive diagnosis models (CDMs) have been popularly used in fields such as education, psychology, and social sciences. While parametric likelihood estimation is a prevailing method for fitting CDMs, nonparametric methodologies are attracting increasing attention due to their ease of implementation and robustness, particularly when sample sizes are relatively small. However, existing consistency results of the nonparametric estimation methods often rely on certain restrictive conditions, which may not be easily satisfied in practice. In this article, the consistency theory for the general nonparametric classification method is reestablished under weaker and more practical conditions. 
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    Free, publicly-accessible full text available March 17, 2026
  3. ; ; (, Psychometrika)
    Full Text Available