A dynamic random dot product graph with within- and between-group attractors is estimated by spectral embedding followed by a Dirichlet GLM, with consistency proved under oracle alignment.
Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models.The Annals of Statistics, 13(1):342 – 368, 1985
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Attractor-Based Coevolving Dot Product Random Graph Model
A dynamic random dot product graph with within- and between-group attractors is estimated by spectral embedding followed by a Dirichlet GLM, with consistency proved under oracle alignment.