JASA Apr 15, 2026

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Authors
Qiao Liu Wing Hung Wong
Research Topics
Causal Inference Machine Learning Bayesian Statistics
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2654227
  • Published:
    April 15, 2026
  • Added to Tracker:
    Apr 16, 2026
Author Details
Qiao Liu
Author
Wing Hung Wong
Author
Research Topics & Keywords
Causal Inference
Research Area
Machine Learning
Research Area
Bayesian Statistics
Research Area
Citation Information
APA Format
Qiao Liu & Wing Hung Wong (2026) . An AI-powered Bayesian generative modeling approach for causal inference in observational studies. Journal of the American Statistical Association , 10.1080/01621459.2026.2654227.
BibTeX Format
@article{paper1116,
  title = { An AI-powered Bayesian generative modeling approach for causal inference in observational studies },
  author = { Qiao Liu and Wing Hung Wong },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2654227 },
  url = { https://doi.org/10.1080/01621459.2026.2654227 }
}
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