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Activity Number:
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562
- Statistical Methods for Multivariate Spatial and Spatio-Temporal Models with Application to the Environment
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Type:
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Invited
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Date/Time:
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Thursday, August 6, 2020 : 3:00 PM to 4:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #309433
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Title:
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Multivariate Spatio-Temporal Point Process Models for Terrorism Patterns
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Author(s):
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Mikyoung Jun*
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Companies:
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Texas A&M University
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Keywords:
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Global terrorism data base;
Hawkes process;
Log Gaussian Cox process;
Multivariate point process models
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Abstract:
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In this talk, I will discuss developments for multivariate point process models for terrorism patterns by multiple terrorist groups. Multivariate non stationary Hawkes process models for spatial as well as spatio-temporal point patterns are developed and applied to fit terrorism attacks in Nigeria. The results for these models are compared to those based on Log-Gaussian Cox process models. Issues with inferences as well as computation will be discussed.
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Authors who are presenting talks have a * after their name.
