Marginal modeling of multilateral relational events

Stefano Peluso, Francesco Bartolucci, Antonietta Mira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

AbstractWe implement the methodology of marginal modeling of relational events involving groups of actors, as developed in Bartolucci, Peluso and Mira (2017). Current relational data analyses suffer from the representation of an event through edge variables, with potential loss of information when the events generate a set of multiple relations rather than bilateral connections or ties. To fully exploit the informational content of relational events, we model an event as a binary vector of response variables representing actors participating to the event. Univariate and bivariate distributions of the events are modeled through marginal parameters having a clear social interpretation.
Original languageEnglish
Title of host publicationProceedings of the 49th Intermediate Meeting of the Italian Statistical Society
Pages1-6
Number of pages6
Publication statusPublished - 2017
EventQuarantanovesimo meeting intermedio della Società Italiana di Statistica - Firenze -- ITA
Duration: 28 Jun 201730 Jun 2018

Conference

ConferenceQuarantanovesimo meeting intermedio della Società Italiana di Statistica
CityFirenze -- ITA
Period28/6/1730/6/18

Keywords

  • marginal models
  • multilateral events

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