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Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland

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  • Maura Mezzetti

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  • Maura Mezzetti, 2012. "Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 49-74, March.
    • Handle: RePEc:spr:stmapp:v:21:y:2012:i:1:p:49-74
    DOI: 10.1007/s10260-011-0177-9
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    References listed on IDEAS

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    1. Aguilar, Omar & West, Mike, 2000. "Bayesian Dynamic Factor Models and Portfolio Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 338-357, July.
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    3. Rowe Daniel B., 2002. "Jointly Distributed Mean and Mixing Coefficients for Bayesian Source Separation using MCMC and ICM," Monte Carlo Methods and Applications, De Gruyter, vol. 8(4), pages 395-404, December.
    4. Gerhard Arminger & Bengt Muthén, 1998. "A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm," Psychometrika, Springer;The Psychometric Society, vol. 63(3), pages 271-300, September.
    5. W. R. Gilks & N. G. Best & K. K. C. Tan, 1995. "Adaptive Rejection Metropolis Sampling Within Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 44(4), pages 455-472, December.
    6. Hogan J.W. & Tchernis R., 2004. "Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 314-324, January.
    7. Leonhard Knorr‐Held & Nicola G. Best, 2001. "A shared component model for detecting joint and selective clustering of two diseases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(1), pages 73-85.
    8. Christopher K. Wikle, 2003. "Hierarchical Models in Environmental Science," International Statistical Review, International Statistical Institute, vol. 71(2), pages 181-199, August.
    9. James Martin & Roderick McDonald, 1975. "Bayesian estimation in unrestricted factor analysis: A treatment for heywood cases," Psychometrika, Springer;The Psychometric Society, vol. 40(4), pages 505-517, December.
    10. Anselin, Luc, 2007. "Spatial econometrics in RSUE: Retrospect and prospect," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 450-456, July.
    11. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    12. Nhu D. Le & Weimin Sun & James V. Zidek, 1997. "Bayesian Multivariate Spatial Interpolation with Data Missing by Design," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(2), pages 501-510.
    13. Maura Mezzetti & Francesco C. Billari, 2005. "Bayesian correlated factor analysis of socio-demographic indicators," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(2), pages 223-241, November.
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