A supervised weeding method to cluster high dimensional predictors with application to job market analysis

Yuyang Li, Jianxin Bi, Jingyuan Liu, Ying Yang

Open source

DOI: 10.1080/02664763.2024.2348634
Published: 2024-05
Container: Journal of Applied Statistics
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/02664763.2024.2348634,
  title = {A supervised weeding method to cluster high dimensional predictors with application to job market analysis},
  author = {Yuyang Li and Jianxin Bi and Jingyuan Liu and Ying Yang},
  year = {2024},
  journal = {Journal of Applied Statistics},
  doi = {10.1080/02664763.2024.2348634},
  url = {https://doi.org/10.1080/02664763.2024.2348634}
}

RIS

TY  - JOUR
TI  - A supervised weeding method to cluster high dimensional predictors with application to job market analysis
AU  - Yuyang Li
AU  - Jianxin Bi
AU  - Jingyuan Liu
AU  - Ying Yang
PY  - 2024
JO  - Journal of Applied Statistics
DO  - 10.1080/02664763.2024.2348634
UR  - https://doi.org/10.1080/02664763.2024.2348634
ER  -

APA

Li, Y., Bi, J., Liu, J., & Yang, Y. (2024). A supervised weeding method to cluster high dimensional predictors with application to job market analysis. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2024.2348634

Source records

crossref · retrieved 2026-11-10T13:56:27.902Z