Python, A., Illian, J. B., Jones‐Todd, C. M., & Blangiardo, M. (2019). A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(1), 323-344. https://doi.org/10.1111/rssa.12384
ISO-690 (author-date, English)PYTHON, André, ILLIAN, Janine B., JONES‐TODD, Charlotte M. und BLANGIARDO, Marta, 2019. A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016. Journal of the Royal Statistical Society: Series A (Statistics in Society). 1 Januar 2019. Vol. 182, no. 1, p. 323-344. DOI 10.1111/rssa.12384.
Modern Language Association 9th editionPython, A., J. B. Illian, C. M. Jones‐Todd, und M. Blangiardo. „A Bayesian Approach to Modelling Subnational Spatial Dynamics of Worldwide non‐state Terrorism, 2010–2016.“. Journal of the Royal Statistical Society: Series A (Statistics in Society), Bd. 182, Nr. 1, Januar 2019, S. 323-44, https://doi.org/10.1111/rssa.12384.
Mohr Siebeck - Recht (Deutsch - Österreich)Python, André/Illian, Janine B./Jones‐Todd, Charlotte M./Blangiardo, Marta: A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016., Journal of the Royal Statistical Society: Series A (Statistics in Society) 2019, 323-344.
Emerald - HarvardPython, A., Illian, J.B., Jones‐Todd, C.M. und Blangiardo, M. (2019), „A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016.“, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 182 No. 1, S. 323-344.