Opening book details…
Can I read Network inference, error, and informant (in)accuracy: a Bayesian approach on EtoBox?
Network inference, error, and informant (in)accuracy: a Bayesian approach by Carter T. Butts is a Social Sciences article available to read on EtoBox.
What is Network inference, error, and informant (in)accuracy: a Bayesian approach about?
Much, if not most, social network data is derived from informant reports; past research, however, has indicated that such reports are in fact highly inaccurate representations of social interaction. In this paper, a family of hierarchical Bayesian models is developed which allows for the simultaneous inference of informant accuracy and social structure in the presence of measurement error and missing data. Posterior simulation for these models using Markov Chain Monte Carlo methods is outlined. Robustness of the models to structurally correlated error rates, implications of the Bayesian modeling framework for improved data collection strategies, and the validity of the criterion graph are also discussed.
Who reads Network inference, error, and informant (in)accuracy: a Bayesian approach?
It is typically read by researchers, students, and practitioners in Social Sciences.
- Author
- Carter T. Butts
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-8733)
- Published
- 2003
- Language
- EN
- Field
- Social Sciences