Joint Bayesian additive regression trees for multiple nonlinear dependency networks.
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| Title: | Joint Bayesian additive regression trees for multiple nonlinear dependency networks. |
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| Authors: | Huang L; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.; Statistical Innovation Group, AbbVie Inc, North Chicago, IL, 60064, United States., Peterson CB; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States., Ha MJ; Biohealth Data Science, Graduate School of Transdisciplinary Health Science, Yonsei University, Seoul 03722, South Korea.; Department of Health Informatics and Biostatistics, Graduate School of Public Health, Yonsei University, Seoul 03722, South Korea. |
| Source: | Biometrics [Biometrics] 2025 Oct 08; Vol. 81 (4). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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