BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY.

Xu C, Lu Z, Cheng Y, Song Q, Zhao Y, Wang X

DOI: 10.1214/26-aoas2210
Published: 2026 Sep
Container: The annals of applied statistics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1214/26-aoas2210,
  title = {BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY.},
  author = {Xu C and Lu Z and Cheng Y and Song Q and Zhao Y and Wang X},
  year = {2026},
  journal = {The annals of applied statistics},
  doi = {10.1214/26-aoas2210},
  url = {https://doi.org/10.1214/26-aoas2210}
}

RIS

TY  - JOUR
TI  - BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY.
AU  - Xu C
AU  - Lu Z
AU  - Cheng Y
AU  - Song Q
AU  - Zhao Y
AU  - Wang X
PY  - 2026
JO  - The annals of applied statistics
DO  - 10.1214/26-aoas2210
UR  - https://doi.org/10.1214/26-aoas2210
ER  -

APA

C, X., Z, L., Y, C., Q, S., Y, Z., & X, W. (2026). BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY.. The annals of applied statistics. https://doi.org/10.1214/26-aoas2210

Source records

pubmed · retrieved 2026-11-10T11:17:34.765Z