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.
and Davey Smith, George and Schmidt, Amand F
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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.