502 citations · 1.2k across the 17 of their papers we have counts for
17 papers
Statistical Modeling of Networked Evolutionary Public Goods Games
Hiroyasu Ando, Akihiro Nishi, Mark S. Handcock
Repeated small dynamic networks are integral to studies in evolutionary game theory, where networked public goods games offer novel insights into human behaviors. Building on these…
Population level information combined parameter estimation from complex survey datasets
Sanjay Chaudhuri, Mark S. Handcock, Michael S. Rendall
We consider an empirical likelihood framework for inference for a statistical model based on an informative sampling design and population-level information. The population-level i…
An Approach to Causal Inference over Stochastic Networks
Duncan A. Clark, Mark S. Handcock
Claiming causal inferences in network settings necessitates careful consideration of the often complex dependency between outcomes for actors. Of particular importance are treatmen…
A Conditional Empirical Likelihood Based Method for Model Parameter Estimation from Complex survey Datasets
Sanjay Chaudhuri, Mark S. Handcock
We consider an empirical likelihood framework for inference for a statistical model based on an informative sampling design. Covariate information is incorporated both through the…
Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems
Joshua D. EmBree, Mark S. Handcock
We develop a class of exponential-family point processes based on a latent social space to model the coevolution of social structure and behavior over time. Temporal dynamics are m…
Analysis of Partially Observed Networks via Exponential-family Random Network Models
Ian E. Fellows, Mark S. Handcock
Exponential-family random network (ERN) models specify a joint representation of both the dyads of a network and nodal characteristics. This class of models allow the nodal charact…