Kumar, V., Benavides, J., Carrillo-Gallegos, C., Speyer, G. und Kioumourtzoglou, M.-A. (2025) „Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing“, in. doi:10.1109/HPEC67600.2025.11196402.
Chicago Manual of Style 17th edition (full note)Kumar, Vijay, Jaime Benavides, Carlos Carrillo-Gallegos, Gil Speyer, und Marianthi-Anna Kioumourtzoglou. „Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-Temporal Air Pollution Predictions Using High-Performance Computing“. In . https://doi.org/10.1109/HPEC67600.2025.11196402.
American Psychological Association 7th editionKumar, V., Benavides, J., Carrillo-Gallegos, C., Speyer, G., & Kioumourtzoglou, M.-A. (2025, September 15). Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing. https://doi.org/10.1109/HPEC67600.2025.11196402
Modern Language Association 9th editionKumar, V., J. Benavides, C. Carrillo-Gallegos, G. Speyer, und M.-A. Kioumourtzoglou. Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-Temporal Air Pollution Predictions Using High-Performance Computing. 2025, https://doi.org/10.1109/HPEC67600.2025.11196402.
ISO-690 (author-date, Deutsch)KUMAR, Vijay, Jaime BENAVIDES, Carlos CARRILLO-GALLEGOS, Gil SPEYER und Marianthi-Anna KIOUMOURTZOGLOU, 2025. Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing. In: . 15 September 2025