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  1. 1
    A novel ranked k-nearest neighbors algorithm for missing data imputation
    par Khan, Yasir
    Publié dans: Journal of applied statistics (2025)

    Article en ligne

  2. 2
    Dealing with missing data under stratified sampling designs where strata are study domains

    Article en ligne

  3. 3
    Imputed mean tensor regression for near-sited spatial temporal data
    par Liang, Jinwen
    Publié dans: Journal of applied statistics (2024)

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  4. 4
    Incomplete clustering analysis via multiple imputation
    par Lee, Jung Wun
    Publié dans: Journal of applied statistics (2023)

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  5. 5
    Handling high-dimensional data with missing values by modern machine learning techniques
    par Chen, Sixia
    Publié dans: Journal of applied statistics (2023)

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  6. 6
    Boosting large-scale river connectivity restoration by planning for the presence of unrecorded barriers

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  7. 7
    Time-varying coefficient cumulative gap time models for intensive longitudinal ecological momentary assessment data with missingness
    par Li, Xiaoxue
    Publié dans: Journal of applied statistics (2022)

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  8. 8
    Reliability of a soccer player based on the bivariate Rayleigh distribution with right censored and ignorable missing data

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  9. 9
    How Many Imputations Do You Need? A Two-stage Calculation Using a Quadratic Rule

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  10. 10
    Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models

    Article en ligne

  11. 11
    A semiparametric marginalized zero-inflated model for analyzing healthcare utilization panel data with missingness
    par Chen, Tian
    Publié dans: Journal of applied statistics (2019)

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  12. 12
    Streaming PCA and Subspace Tracking The Missing Data Case

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  13. 13
    Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices with Incomplete Data
    Article

  14. 14
    Sensitivity to imputation models and assumptions in receiver operating characteristic analysis with incomplete data
    Article

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