1. Forecasting for social good. International Journal of Forecasting, : 2021. (Rostami-Tabar B., Ali M.M., Hong T., Hyndman R.J., Porter M.D., and Syntetos A.) [PDF]
2. A note on the multiplicative fairness score in the NIJ recidivism forecasting challenge. Crime Science, 10(1): 1–5, 2021. (Mohler G. and Porter M.D.) [PDF]
3. Development of Wastewater Pooled Surveillance of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Congregate Living Settings. Applied and Environmental Microbiology, 87(13): e00433-21, 2021. (Colosi L.M., Barry K.E., Kotay S.M., Porter M.D., Poulter M.D., Ratliff C., Simmons W., Steinberg L.I., Wilson D.D., Morse R., Zmick P., and Mathers A.J.) [PDF]
4. A Tale of Two Metrics: Polling and Financial Contributions as a Measure of Performance. IEEE International Systems Conference (SysCon), 2021. (Mostafavi M., Porter M.D., Jiang Y., Phillips M., and Freedman P.)
5. How emoji and word embedding helps to unveil emotional transitions from social media interactions. IEEE International Systems Conference (SysCon), 2021. (Mostafavi M. and Porter M.D.)
6. Discovering Influence of Yelp Reviews Using Hawkes Point Processes. Intelligent Systems Conference (IntelliSys), 2021. (Jiang Y. and Porter M.D.) [PDF]
7. An Application of the Partially Observed Markov Process in the Analysis of Transmission Dynamics of COVID-19 via Wastewater. Systems and Information Engineering Design Symposium (SIEDS), 2021. (Jiang S., Maggard K., Shakeri H., and Porter M.D.)
8. Safe and Sustainable Fleet Management with Data Analytics and Training. Systems and Information Engineering Design Symposium (SIEDS), 1–3, 2021. (Gresham T.R., Kim J., McDonald J., Scoggins N., Mostafavi M., Park B.B., Porter M.D., Duffy M.E., and Smith S.A.)
9. Determining Factors of Heart Quality and Donor Acceptance in Pediatric Heart Transplants. Systems and Information Engineering Design Symposium (SIEDS), 2021. (Bullock J., Grieco M., Liu Y., Pedersen I., Roberson W., Wright G., Alonzi P., McCulloch M.A., and Porter M.D.)
10. Learning to rank spatio-temporal event hotspots. Crime Science, 9(3): 1–12, 2020. (Mohler G., Porter M.D., Carter J., and LaFree G.) [PDF]
11. Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology?. Energy Conversion and Management, 203(112252): 2020. (Cheng F., Porter M.D., and Colosi L.M.) [PDF]
12. Traveler Perception of Transportation System Performance Using Kernel Density Estimation to Prioritize Infrastructure Investments. International Conference on Transportation and Development, 48-61, 2020. (Pennetti C.A., Andrews D., Porter M.D., and Lambert J.H.) [PDF]
13. Criminal Consistency and Distinctiveness. Systems and Information Engineering Design Symposium (SIEDS), 1–3, 2020. (Koch A., Tian J., and Porter M.D.) [PDF]
14. Optimization of VDOT Safety Service Patrols to Improve VDOT Response to Incidents. Systems and Information Engineering Design Symposium (SIEDS), 1–6, 2020. (Campbell E., Chamberlayne E., Gawrylowicz J., Hood C., Hudak A., Orlowsky M., Rivero E., and Porter M.)
15. Detecting, identifying, and localizing radiological material in urban environments using scan statistics. IEEE International Symposium on Technologies for Homeland Security (HST), 1–6, 2019. (Porter M.D. and Akakpo A.) [PDF]
16. Evaluation of VDOT’s Safety Service Patrols to Improve Response to Incidents. Systems and Information Engineering Design Symposium (SIEDS), 1–5, 2019. (Abrisqueta A., Bishop C.A., Perryman S.P., Shoebotham L.M., Wang J., and Porter M.) [PDF]
17. Optimal Bayesian Clustering using Non-negative Matrix Factorization. Computational Statistics and Data Analysis, 128: 395–411, 2018. (Wang K. and Porter M.D.) [PDF]
18. Rotational grid, PAI-maximizing crime forecasts. Statistical Analysis and Data Mining, 11(5): 227–236, 2018. (Mohler G. and Porter M.D.) [PDF]
19. Learning to rank spatio-temporal event hotspots. URBCOMP2018, 2018. (Mohler G., Porter M.D., Carter J., and LaFree G.) [PDF]
20. How the Choice of Safety Performance Function Affects the Identification of Important Crash Prediction Variables. Accident Analysis and Prevention, 88(1): 1–8, 2016. (Wang K., Simandl J.K., Porter M.D., Graettinger A.J., and Smith R.K.) [PDF]
21. A Statistical Approach to Crime Linkage. The American Statistician, 70(2): 152–165, 2016. (Porter M.D.) [PDF]
22. Consistency and specificity in burglars who commit prolific residential burglary: Testing the core assumptions underpinning behavioural crime linkage. Legal and Criminological Psychology, 21(1): 77–94, 2016. (Bouhana N., Johnson S.D., and Porter M.D.) [PDF]
23. Partially-supervised spatiotemporal clustering for burglary crime series identification. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(2): 465–780, 2015. (Reich B.J. and Porter M.D.) [PDF]
24. Modelling the effectiveness of counter-terrorism interventions. Trends and Issues in Crime and Criminal Justice, (457): 1–8, 2014. (White G., Mazerolle L., Porter M.D., and Chalk P.) [PDF]
25. GPU accelerated MCMC for modeling terrorist activity. Computational Statistics and Data Analysis, 71: 643–651, 2014. (White G. and Porter M.D.) [PDF]
26. Terrorism Risk, Resilience, and Volatility: A Comparison of Terrorism in Three Southeast Asian Countries. Journal of Quantitative Criminology, 29(2): 295–320, 2013. (White G., Porter M.D., and Mazerolle L.) [PDF]
27. Discussion of Estimating the historical and future probabilities of large terrorist events. The Annals of Applied Statistics, 7(4): 1871–1875, 2013. (Reich B.J. and Porter M.D.) [PDF]
28. Self-exciting hurdle models for terrorist activity. The Annals of Applied Statistics, 6(1): 106–124, 2012. (Porter M.D. and White G.) [PDF]
29. Evaluating temporally weighted kernel density methods for predicting the next event location in a series. Annals of GIS, 18(3): 225–240, 2012. (Porter M.D. and Reich B.J.) [PDF]
30. Innovative Methods for Terrorism and Counterterrorism Data. In Evidence-Based Counterterrorism Policy, Springer New York, 91–112, 2012. (Porter M.D., White G., and Mazerolle L.) [PDF]
31. Network Neighborhood Analysis. IEEE Int. Conf. on Intelligence and Security Informatics (ISI), 31-36, 2010. (Porter M.D. and Smith R.) [PDF]
32. Mixture Likelihood Ratio Scan Statistic for Disease Surveillance. Advances in Disease Surveillance, 5: 1, 2008. (Neimi J.B., Porter M.D., and Reich B.J.) [PDF]
33. Detecting local regions of change in high-dimensional criminal or terrorist point processes. Computational Statistics & Data Analysis, 51(5): 2753 – 2768, 2007. (Porter M.D. and Brown D.E.) [PDF]

In Progress

34. Changing Presidential Approval: Detecting and Understanding Change. (Tian J. and Porter M.D.)
35. Endogenous and Exogenous Effects in Contagion and Diffusion Models of Terrorist Activity. (White G., Ruggeri F., and Porter M.D.) [PDF]
36. A Fast Two Stage Anomaly Detection Method for Large Dynamic Networks. (Li H. and Porter M.D.)
37. The Predictability of Highway Crash Hotspots. (Liao Y. and Porter M.D.)
38. Predictive Based Model Selection for Detecting Insider Cyber Security Threats. (Posey C., Porter M.D., Lowry P., and Moody G.)
39. Contagion and Diffusion Models for the Dynamics of Terrorist Activity. [Under Contract with CRC Press] (White G.W. and Porter M.D.)