A cycle-counting-ratio estimator for the β-model achieves minimax-optimal MSE and consistency under the weak conditions θ_max→0 and θ_t‖θ‖₁→∞, even at network densities near log n/n.
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2 Pith papers cite this work, alongside 144 external citations. Polarity classification is still indexing.
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CFips is a multi-step constrained sampler for interval patterns that decomposes syntactic constraints into predicates on bounds and proves frequency-proportional sampling within the allowed space.
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Subgraph counting estimation for the $\beta$-model in sparse networks
A cycle-counting-ratio estimator for the β-model achieves minimax-optimal MSE and consistency under the weak conditions θ_max→0 and θ_t‖θ‖₁→∞, even at network densities near log n/n.
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Frequency-based Constrained Sampling for Interval Patterns
CFips is a multi-step constrained sampler for interval patterns that decomposes syntactic constraints into predicates on bounds and proves frequency-proportional sampling within the allowed space.