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Invariance Properties of Statistical Procedures for Network Structures Identification

  • Petr A. KoldanovEmail author
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 247)

Abstract

Invariance properties of statistical procedures for threshold graph identification are considered. An optimal procedure in the class of invariant multiple decision procedures is constructed.

Keywords

Random variables network Network model Network structures Threshold graph Uniformly most powerful test Invariance Unbiasedness 

Notes

Acknowledgements

The work is partially supported by RFHR grant 15-32-01052 (Sections 3, 4) and RFFI grant 18-07-00524 (Section 5).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratory of Algorithms and Technologies for Network AnalysisNational Research University Higher School of EconomicsNizhny NovgorodRussia

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