8 citations · 15 across the 9 of their papers we have counts for
4 papers · 1 filter
Dynamic Latent Space Modeling of Inhomogeneous Poisson Network Processes with Applications to International Relations
Jie Jian, Jiguo Cao, Owen G. Ward
We study continuous-time relational event data, where time-stamped dyadic interactions reflect both individual node propensities and evolving relational proximity. We propose a dyn…
Investigating Experiential Effects in Online Chess using a Hierarchical Bayesian Analysis
Adam Gee, Sydney O. Seese, James P. Curley +1
The presence or absence of winner-loser effects is a widely discussed phenomenon across both sports and psychology research. Investigation of such effects is often hampered by the…
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Owen G. Ward, Jing Wu, Tian Zheng +2
Group-based social dominance hierarchies are of essential interest in animal behavior research. Studies often record aggressive interactions observed over time, and models that can…
Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
Jing Wu, Owen G. Ward, James Curley +1
Modeling event dynamics is central to many disciplines. Patterns in observed event arrival times are commonly modeled using point processes. Such event arrival data often exhibits…