Sample Expansion

Sample Expansion is a methodological technique within synthetic population generation that belongs to the class of data augmentation strategies, distinguished by its focus on increasing the size and representativeness of an initial sample through the integration of auxiliary data and statistical inference to generate a comprehensive, micro-level population structure.

43

Publications

1.8K

Citations

231

Authors

95

Institutions

Publications per year

2017–2026

24

Authors

231

  1. YZ
    Yongjun Zhang

    Guizhou University, China

    2 publications · 32 citations

    2

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  2. XW
    Xuesong Wang

    China University of Mining and Technology, China

    2 publications · 94 citations

    2

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  3. YC
    Yuhu Cheng

    China University of Mining and Technology, China

    2 publications · 94 citations

    2

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  4. RB
    Rohit Bhargava

    University of Illinois Urbana-Champaign, United States

    2 publications · 83 citations

    2

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  5. SM
    Shachi Mittal

    University of Illinois Urbana-Champaign, United States

    2 publications · 83 citations

    2

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1–5 of 231

Venues

  1. 3

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  2. Public Opinion Quarterly

    POQ · 2 publications · 36 citations

    2

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  3. Analytical Chemistry

    2 publications · 120 citations

    2

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  4. Optics Express

    2 publications · 135 citations

    2

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  5. Biomedical Optics Express

    BOE · 2 publications · 47 citations

    2

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1–5