A pseudo-likelihood ratio screening procedure is introduced to select both self-related and network-related features for network-involved preference classification, with consistency guarantees and a Sina Weibo application.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Pseudo-Likelihood Ratio Screening based on Network Data with Applications
A pseudo-likelihood ratio screening procedure is introduced to select both self-related and network-related features for network-involved preference classification, with consistency guarantees and a Sina Weibo application.