Evaluation of Bayesian Maximum Entropy Data Fusion Approaches to Estimate Styrene, Benzene, Toluene, Ethylbenzene, and Xylenes and to Inform Epidemiological Analyses in the US Gulf States.
- DOI
- 10.1021/acs.est.4c05094
- Published
- 2025 Jan 14
- Container
- Environmental science & technology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.4c05094,
title = {Evaluation of Bayesian Maximum Entropy Data Fusion Approaches to Estimate Styrene, Benzene, Toluene, Ethylbenzene, and Xylenes and to Inform Epidemiological Analyses in the US Gulf States.},
author = {Abbott NA and Semone L and Strott R and Dodda P and Wang CT and Green J and Baek BH and Engel LS and Vizuete W and Serre ML},
year = {2025},
journal = {Environmental science \& technology},
doi = {10.1021/acs.est.4c05094},
url = {https://doi.org/10.1021/acs.est.4c05094}
}RIS
TY - JOUR TI - Evaluation of Bayesian Maximum Entropy Data Fusion Approaches to Estimate Styrene, Benzene, Toluene, Ethylbenzene, and Xylenes and to Inform Epidemiological Analyses in the US Gulf States. AU - Abbott NA AU - Semone L AU - Strott R AU - Dodda P AU - Wang CT AU - Green J AU - Baek BH AU - Engel LS AU - Vizuete W AU - Serre ML PY - 2025 JO - Environmental science & technology DO - 10.1021/acs.est.4c05094 UR - https://doi.org/10.1021/acs.est.4c05094 ER -
APA
NA, A., L, S., R, S., P, D., CT, W., J, G., BH, B., LS, E., W, V., & ML, S. (2025). Evaluation of Bayesian Maximum Entropy Data Fusion Approaches to Estimate Styrene, Benzene, Toluene, Ethylbenzene, and Xylenes and to Inform Epidemiological Analyses in the US Gulf States.. Environmental science & technology. https://doi.org/10.1021/acs.est.4c05094
Source records
- pubmed · retrieved 2026-09-26T22:05:29.310Z