141 citations · 160 across the 9 of their papers we have counts for
5 papers · 1 filter
Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices
Fan Yin, Carter T. Butts
The exponential family random graph modeling (ERGM) framework provides a flexible approach for the statistical analysis of networks. As ERGMs typically involve normalizing factors…
Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Fan Yin, Jieying Jiao, Guanyu Hu +1
Basketball shot location data provide valuable summary information regarding players to coaches, sports analysts, fans, statisticians, as well as players themselves. Represented by…
Analysis of professional basketball field goal attempts via a Bayesian matrix clustering approach
Fan Yin, Guanyu Hu, Weining Shen
We propose a Bayesian nonparametric matrix clustering approach to analyze the latent heterogeneity structure in the shot selection data collected from professional basketball playe…
Finite Mixtures of ERGMs for Modeling Ensembles of Networks
Fan Yin, Weining Shen, Carter T. Butts
Ensembles of networks arise in many scientific fields, but there are few statistical tools for inferring their generative processes, particularly in the presence of both dyadic dep…
Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)
Fan Yin, Nolan Edward Phillips, Carter T. Butts
Statistical models for networks with complex dependencies pose particular challenges for model selection and evaluation. In particular, many well-established statistical tools for…