American Psychological Association 6th edition

Oates, C. J., Cockayne, J., Aykroyd, R. G., & Girolami, M. (2019). Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment. Journal of the American Statistical Association, 114(528), 1518-1531. https://doi.org/10.1080/01621459.2019.1574583

ISO-690 (author-date, English)

OATES, Chris J., COCKAYNE, Jon, AYKROYD, Robert G. und GIROLAMI, Mark, 2019. Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment. Journal of the American Statistical Association. 1 Dezember 2019. Vol. 114, no. 528, p. 1518-1531. DOI 10.1080/01621459.2019.1574583.

Modern Language Association 9th edition

Oates, C. J., J. Cockayne, R. G. Aykroyd, und M. Girolami. „Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment.“. Journal of the American Statistical Association, Bd. 114, Nr. 528, Dezember 2019, S. 1518-31, https://doi.org/10.1080/01621459.2019.1574583.

Mohr Siebeck - Recht (Deutsch - Österreich)

Oates, Chris J./Cockayne, Jon/Aykroyd, Robert G./Girolami, Mark: Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment., Journal of the American Statistical Association 2019, 1518-1531.

Emerald - Harvard

Oates, C.J., Cockayne, J., Aykroyd, R.G. und Girolami, M. (2019), „Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment.“, Journal of the American Statistical Association, Vol. 114 No. 528, S. 1518-1531.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.