@inproceedings{d5aef77b438a4786b5099d1e50ad5a02,
title = "Two-Step Estimation for Modeling the Earthquake Occurrences in Sumatra by Neyman–Scott Cox Point Processes",
abstract = "The Cox point process is highly considered for earthquake modeling. However, the complex earthquake data which involve a large number of occurrences and geological variables often require expensive computation. This study aims to propose an efficient algorithm based on the two-step procedure by constructing the first and second order composite likelihoods. We consider four Neyman–Scott Cox process models and apply them to fit the earthquake distribution in Sumatra. We conclude that the Cauchy cluster process performs best.",
keywords = "Big data problem, Cluster point process, Disaster risk reduction, Earthquake modeling, Spatial point pattern",
author = "Achmad Choiruddin and Susanto, {Tabita Yuni} and Rahma Metrikasari",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 6th International Conference on Soft Computing in Data Science, SCDS 2021 ; Conference date: 02-11-2021 Through 03-11-2021",
year = "2021",
doi = "10.1007/978-981-16-7334-4_11",
language = "English",
isbn = "9789811673337",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "146--159",
editor = "Azlinah Mohamed and Yap, {Bee Wah} and Zain, {Jasni Mohamad} and Berry, {Michael W.}",
booktitle = "Soft Computing in Data Science - 6th International Conference, SCDS 2021, Proceedings",
address = "Germany",
}