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Fast subset scan for spatial pattern detection

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  • Daniel B. Neill

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  • Daniel B. Neill, 2012. "Fast subset scan for spatial pattern detection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 74(2), pages 337-360, March.
    • Handle: RePEc:bla:jorssb:v:74:y:2012:i:2:p:337-360
    DOI: j.1467-9868.2011.01014.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9868.2011.01014.x
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    Citations

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    Cited by:

    1. Loecher, Markus & Ropkins, Karl, 2015. "RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i04).
    2. Edward McFowland III & Sriram Somanchi & Daniel B. Neill, 2018. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection," Papers 1803.09159, arXiv.org, revised May 2023.
    3. Fitzpatrick, Dylan & Ni, Yun & Neill, Daniel B., 2021. "Support vector subset scan for spatial pattern detection," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    4. Sevvandi Kandanaarachchi & Rob J Hyndman & Kate Smith-Miles, 2020. "Early classification of spatio-temporal events using partial information," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-39, August.
    5. Zhang, Rongmao & Chan, Ngai Hang & Chi, Changxiong, 2023. "Nonparametric testing for the specification of spatial trend functions," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    6. Stein Olav Skrøvseth & Johan Gustav Bellika & Fred Godtliebsen, 2012. "Causality in Scale Space as an Approach to Change Detection," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-14, December.
    7. de Lima, Max Sousa & Duczmal, Luiz Henrique, 2014. "Adaptive likelihood ratio approaches for the detection of space–time disease clusters," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 352-370.
    8. Ali Abolhassani & Marcos O. Prates & Safieh Mahmoodi, 2023. "Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(1), pages 141-162, April.
    9. Zhou, Ruoyu & Shu, Lianjie & Su, Yan, 2015. "An adaptive minimum spanning tree test for detecting irregularly-shaped spatial clusters," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 134-146.
    10. Castrillón-Candás, Julio E. & Kon, Mark, 2022. "Anomaly detection: A functional analysis perspective," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    11. Pei‐Sheng Lin & Yi‐Hung Kung & Murray Clayton, 2016. "Spatial scan statistics for detection of multiple clusters with arbitrary shapes," Biometrics, The International Biometric Society, vol. 72(4), pages 1226-1234, December.
    12. Tong Wang & Cynthia Rudin, 2022. "Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1626-1643, May.

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