Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables
Version of Record online: 27 FEB 2012
© 2012 Board of the Foundation of the Scandinavian Journal of Statistics
Scandinavian Journal of Statistics
Volume 39, Issue 4, pages 663–680, December 2012
How to Cite
IRINCHEEVA, I., CANTONI, E. and GENTON, M. G. (2012), Generalized Linear Latent Variable Models with Flexible Distribution of Latent Variables. Scandinavian Journal of Statistics, 39: 663–680. doi: 10.1111/j.1467-9469.2011.00777.x
- Issue online: 21 NOV 2012
- Version of Record online: 27 FEB 2012
- Received October 2010, in final form September 2011
S1. Simulation results selected with AIC, BIC and HQ criteria for the mixture of normal latent variable as mentioned in section 4.
S2. Detailed estimation results for Swineford-Holzinger data in section 5.1.
S3. SNP-GLLVM with one latent variable fitted to Swiss consumption data from section 5.2: coefficients with standard errors and estimated densities of latent variable.
S4. Gradient of the log-likelihood function for SNP-GLLVM with conditionally normal manifest variables in section 3.1.
S5. Gradient of the log-likelihood function for SNP-GLLVM with mixed scale manifest variables in section 3.2.
S6. Proof of Proposition 2.1 and Corollary 2.2 from section 2.2.
S7. R code for estimating SNP-GLLVM with mixed scale manifest variables and one latent variable as mentioned in section 3.2.
S8. R code for estimating SNP-GLLVM with conditionally normal manifest variables and two latent variables as mentioned in section 3.2.
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