ISSUES AND STRATEGIES IN THE SELECTION OF COMPOSITE LIKELIHOODS

By Bruce G. Lindsay, Grace Y. Yi, Jianping Sun. 2011

112 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b0481efe9a6e65eab2965314eabc46b9862f4fd5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chandra R. Bhat
2. Subodh K. Dubey
3. Cristiano Varin
4. Nancy Reid
5. David Firth
6. A. C. Davison
7. Raphaël Huser
8. Mathieu Ribatet

Citations in the corpus

• AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS (2011, methodology): “Although this model is not covered by the closure result of Mardia et al. (2009), they adapt their discussion to show why the result continues to be true. It is possible that the method of Mardia et al. (2009) may also be adapted to explain the relatively high efficiency of composite likelihood meth”
• A New Estimation Approach to Integrate Latent Psychological Constructs in Choice Modeling (2014, methodology): “1 Similarly, the error correlations in the latent variables are almost always ignored within the latent variable structural equation model, as has also been pointed out by Vij and Walker (2014). Such correlations in the latent variables may arise because of common underlying unobserved individual va”