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Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder. / Ward, Kes; Dilillo, Giuseppe; Eckley, Idris et al.
In: Journal of the American Statistical Association, Vol. 120, No. 549, 02.01.2025, p. 34-37.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ward, K, Dilillo, G, Eckley, I & Fearnhead, P 2025, 'Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder', Journal of the American Statistical Association, vol. 120, no. 549, pp. 34-37. https://doi.org/10.1080/01621459.2024.2443563

APA

Ward, K., Dilillo, G., Eckley, I., & Fearnhead, P. (2025). Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder. Journal of the American Statistical Association, 120(549), 34-37. https://doi.org/10.1080/01621459.2024.2443563

Vancouver

Ward K, Dilillo G, Eckley I, Fearnhead P. Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder. Journal of the American Statistical Association. 2025 Jan 2;120(549):34-37. doi: 10.1080/01621459.2024.2443563

Author

Ward, Kes ; Dilillo, Giuseppe ; Eckley, Idris et al. / Poisson-FOCuS : An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder. In: Journal of the American Statistical Association. 2025 ; Vol. 120, No. 549. pp. 34-37.

Bibtex

@article{0e573eab307a41a98d745bc6773b4f4b,
title = "Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder",
author = "Kes Ward and Giuseppe Dilillo and Idris Eckley and Paul Fearnhead",
year = "2025",
month = jan,
day = "2",
doi = "10.1080/01621459.2024.2443563",
language = "English",
volume = "120",
pages = "34--37",
journal = "Journal of the American Statistical Association",
issn = "0162-1459",
publisher = "Taylor and Francis Ltd.",
number = "549",

}

RIS

TY - JOUR

T1 - Poisson-FOCuS

T2 - An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder

AU - Ward, Kes

AU - Dilillo, Giuseppe

AU - Eckley, Idris

AU - Fearnhead, Paul

PY - 2025/1/2

Y1 - 2025/1/2

U2 - 10.1080/01621459.2024.2443563

DO - 10.1080/01621459.2024.2443563

M3 - Journal article

VL - 120

SP - 34

EP - 37

JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

SN - 0162-1459

IS - 549

ER -