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Sparse Approximate Inference for Spatio-Temporal Point Process Models

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Sparse Approximate Inference for Spatio-Temporal Point Process Models. / Cseke, Botond; Sanguinetti, Guido; Mangion, Andrew Zammit.

In: Journal of the American Statistical Association, Vol. 111, No. 516, 04.01.2017, p. 1746-1763.

Research output: Contribution to journalArticle

Harvard

Cseke, B, Sanguinetti, G & Mangion, AZ 2017, 'Sparse Approximate Inference for Spatio-Temporal Point Process Models', Journal of the American Statistical Association, vol. 111, no. 516, pp. 1746-1763. https://doi.org/10.1080/01621459.2015.1115357

APA

Cseke, B., Sanguinetti, G., & Mangion, A. Z. (2017). Sparse Approximate Inference for Spatio-Temporal Point Process Models. Journal of the American Statistical Association, 111(516), 1746-1763. https://doi.org/10.1080/01621459.2015.1115357

Vancouver

Cseke B, Sanguinetti G, Mangion AZ. Sparse Approximate Inference for Spatio-Temporal Point Process Models. Journal of the American Statistical Association. 2017 Jan 4;111(516):1746-1763. https://doi.org/10.1080/01621459.2015.1115357

Author

Cseke, Botond ; Sanguinetti, Guido ; Mangion, Andrew Zammit. / Sparse Approximate Inference for Spatio-Temporal Point Process Models. In: Journal of the American Statistical Association. 2017 ; Vol. 111, No. 516. pp. 1746-1763.