13 citations · 30 across the 9 of their papers we have counts for
9 papers
Prediction scoring of data-driven discoveries for reproducible research
Anna L. Smith, Tian Zheng, Andrew Gelman
Predictive modeling uncovers knowledge and insights regarding a hypothesized data generating mechanism (DGM). Results from different studies on a complex DGM, derived from differen…
Scalable Community Detection in Massive Networks Using Aggregated Relational Data
Timothy Jones, Owen G. Ward, Yiran Jiang +2
The mixed membership stochastic blockmodel (MMSB) is a popular Bayesian network model for community detection. Fitting such large Bayesian network models quickly becomes computatio…
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…
Online Estimation and Community Detection of Network Point Processes for Event Streams
Guanhua Fang, Owen G. Ward, Tian Zheng
A common goal in network modeling is to uncover the latent community structure present among nodes. For many real-world networks, the true connections consist of events arriving as…
Next Waves in Veridical Network Embedding
Owen G. Ward, Zhen Huang, Andrew Davison +1
Embedding nodes of a large network into a metric (e.g., Euclidean) space has become an area of active research in statistical machine learning, which has found applications in natu…
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Jing Wu, Anna L. Smith, Tian Zheng
Point process models have been used to analyze interaction event times on a social network, in the hope to provides valuable insights for social science research. However, the diag…