Extending Hoff's Additive and Multiplicative Effects Network Regression Model to allow for community dependent covariate coefficient estimation when communities are unknown.
Working on testing when censoring occurs in a network. If censoring has occurred, can we accurately predict who someone could possibly be friends with?
Latent communities often drive social connections. This makes learning these communities a challenging yet important problem to solve
Implementation and Highlights of this Work
Developing MCMC with Metropolis Hastings steps to sample from this model
Simultaneously learn community labels and community dependent coefficients
Using data augmentation and post processing steps to make sampling feasible
Real data applications