Journal article
MCMC estimation for the p(2) network regression model with crossed random effects.
- Abstract:
-
The p(2) model is a statistical model for the analysis of binary relational data with covariates, as occur in social network studies. It can be characterized as a multinomial regression model with crossed random effects that reflect actor heterogeneity and dependence between the ties from and to the same actor in the network. Three Markov chain Monte Carlo (MCMC) estimation methods for the p(2) model are presented to improve iterative generalized least squares (IGLS) estimation developed earl...
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- Publication status:
- Published
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- Publisher copy:
- 10.1348/000711007x255336
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Bibliographic Details
- Journal:
- The British journal of mathematical and statistical psychology
- Volume:
- 62
- Issue:
- Pt 1
- Pages:
- 143-166
- Publication date:
- 2009-02-05
- DOI:
- EISSN:
-
2044-8317
- ISSN:
-
0007-1102
- URN:
-
uuid:0695c70e-8ff8-404b-9fee-86fdc26b8f9e
- Source identifiers:
-
97833
- Local pid:
- pubs:97833
Item Description
Terms of use
- Copyright date:
- 2009
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