Join us in welcoming Nicholas Clark from the United States Military Academy’s Department of Mathematical Sciences as he discusses how modeling can be used to prevent crime. Alums and friends of the program are always welcome.
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Download Nicholas Clark’s abstract and biography
Advancements in Spatially Correlated Self-Exciting Spatio-Temporal Models
In criminology, the pervasive theory of repeat victimization posits that locations previously affected by crime or violence are more susceptible to future incidents. Statistical modeling tackles this phenomenon through the application of Hawkes processes or self-exciting spatio-temporal models. However, this talk will shed light on the limitations inherent in standard self-exciting models, emphasizing that improperly structured spatio-temporal frameworks can yield inaccurate insights into the root causes of criminal activities or the spread of violence.
COL Nicholas Clark is an Associate Professor in the Department of Mathematical Sciences at West Point. Nick received a BS in Mathematics from West Point in 2002, a MS in Statistics from George Mason in 2010, and a PhD in Statistics from Iowa State University in 2018. His dissertation was on Self-Exciting Spatio-Temporal Statistical Models and he has published in a variety of disciplines including spatio-temporal statistics, best practices in statistical methodologies, epidemiology, and sports statistics. Nick is the former director of the Center for Data Analysis and Statistics, where he conducted research for a variety of Department of Defense clients. COL Clark also was instrumental in standing up one of the first undergraduate degrees in the country in Applied Statistics and Data Science (ASDS) and currently serves as the Program Director for West Point’s ASDS program.
