Self-exciting point process models of civilian deaths in Iraq
By Erik A. Lewis, George O. Mohler, P. Jeffrey Brantingham, Andrea L. Bertozzi. Security Journal, 2011
139 citations recorded by the source corpus.
Subfields: Applied Mathematics, Global and Planetary Change, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/734757fc6269d29a22c66bb12da8eb157001a927
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- P. Jeffrey Brantingham
- George O. Mohler
- Ke Zhou
- Hongyuan Zha
- Le Song
- George E. Tita
- Martin B. Short
- Matthew S. Gerber
In Global and Planetary Change
In Molecular Biology
- P. Jeffrey Brantingham
- George O. Mohler
- Hongyuan Zha
- Le Song
- George E. Tita
- Martin B. Short
- Matthew S. Gerber
- Matthias Kirchner
Citations in the corpus
- Learning Triggering Kernels for Multi-dimensional Hawkes Processes (2013, background): “Introduction Real world interactions between multiple entities, such as earthquake aftershocks (Vere-Jones, 1970), civilian death in conflicts (Lewis et al., 2011) and user behaviors in social network (Mitchell and Cates, 2010), often exhibit the self-exciting and mutually-exciting property.”
- Gang rivalry dynamics via coupled point process networks (2014, methodology): “One method for validating the model consists of constructing a baseline model for comparison and then using a model selection criterion, such as the Akaike Information Criterion (AIC) [16], to compare the competing models.”