Pages that link to "Item:Q2073714"
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The following pages link to Optimal adaptivity of signed-polygon statistics for network testing (Q2073714):
Displaying 12 items.
- Mixed Membership Estimation for Social Networks (Q144810) (← links)
- Mathematical foundations of machine learning. Abstracts from the workshop held March 21--27, 2021 (hybrid meeting) (Q2131208) (← links)
- Hierarchical Community Detection by Recursive Partitioning (Q5885119) (← links)
- On the efficacy of higher-order spectral clustering under weighted stochastic block models (Q6071724) (← links)
- Power enhancement and phase transitions for global testing of the mixed membership stochastic block model (Q6103213) (← links)
- Universal rank inference via residual subsampling with application to large networks (Q6136584) (← links)
- A Spectral-Based Framework for Hypothesis Testing in Populations of Networks (Q6144621) (← links)
- Stock co-jump networks (Q6150522) (← links)
- Special invited paper: the SCORE normalization, especially for heterogeneous network and text data (Q6548783) (← links)
- Statistical limits for testing correlation of random hypergraphs (Q6564542) (← links)
- Co-citation and Co-authorship Networks of Statisticians (Q6620873) (← links)
- Rejoinder: “Co-citation and Co-authorship Networks of Statisticians” (Q6620879) (← links)