“…We present the simple case here where the observed network Y is continuous, there are no regression terms in the network model, and there is no missing data. For details on accommodating non-continuous network data see Hoff et al (2013) and for including regression terms see Hoff (2005).
Model -
Prior distributions -
Markov chain Monte Carlo algorithm -
Given initial values of all latent variables { a , b , U, V } and parameters {Σ XN , ρ, …”