Model selection in random effects models for directed graphs using approximated Bayes factors
- 1 February 2005
- journal article
- Published by Wiley in Statistica Neerlandica
- Vol. 59 (1) , 107-118
- https://doi.org/10.1111/j.1467-9574.2005.00283.x
Abstract
With the development of an MCMC algorithm, Bayesian model selection for thep2model for directed graphs has become possible. This paper presents an empirical exploration in using approximate Bayes factors for model selection. For a social network of Dutch secondary school pupils from different ethnic backgrounds it is investigated whether pupils report that they receive more emotional support from within their own ethnic group. Approximated Bayes factors seem to work, but considerable margins of error have to be reckoned with.Keywords
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