Exact likelihood for continuous latent space models under snowball sampling reduces to closed form via conditional edge independence, enabling stochastic EM for unbiased inference on networks like patent co-inventors.
Perspectives on Social Network Research , publisher =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Likelihood Inference for Latent Network Models under Snowball Sampling
Exact likelihood for continuous latent space models under snowball sampling reduces to closed form via conditional edge independence, enabling stochastic EM for unbiased inference on networks like patent co-inventors.