84 citations · 92 across the 7 of their papers we have counts for
7 papers
Detecting, identifying, and localizing radiological material in urban environments using scan statistics
Michael D. Porter, Alphonse Akakpo
A method is proposed, based on scan statistics, to detect, identify, and localize illicit radiological material using mobile sensors in an urban environment. Our method handles var…
Optimal Bayesian clustering using non-negative matrix factorization
Ketong Wang, Michael D. Porter
Bayesian model-based clustering is a widely applied procedure for discovering groups of related observations in a dataset. These approaches use Bayesian mixture models, estimated w…
Modelling the Proliferation of Terrorism via Diffusion and Contagion
Gentry White, Fabrizio Ruggeri, Michael D. Porter
The proliferation of terrorism is a serious concern in national and international security, as its spread is seen as an existential threat to Western liberal democracies. Understan…
A Statistical Approach to Crime Linkage
Michael D. Porter
The object of this paper is to develop a statistical approach to criminal linkage analysis that discovers and groups crime events that share a common offender and prioritizes suspe…
Discussion of "Estimating the historical and future probabilities of large terrorist event" by Aaron Clauset and Ryan Woodard
Brian J. Reich, Michael D. Porter
Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard [arXiv:1209.0089].
Self-exciting hurdle models for terrorist activity
Michael D. Porter, Gentry White
A predictive model of terrorist activity is developed by examining the daily number of terrorist attacks in Indonesia from 1994 through 2007. The dynamic model employs a shot noise…