Data augmentation strategies for the Bayesian spatial probit regression model
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DOI: 10.1016/j.csda.2011.08.020
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Cited by:
- Schliep, Erin M. & Hoeting, Jennifer A., 2015. "Data augmentation and parameter expansion for independent or spatially correlated ordinal data," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 1-14.
- Matthew Heiner & Matthew J. Heaton & Benjamin Abbott & Philip White & Camille Minaudo & Rémi Dupas, 2023. "Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 74-98, March.
- Chu, Amanda M.Y. & Omori, Yasuhiro & So, Hing-yu & So, Mike K.P., 2023. "A Multivariate Randomized Response Model for Sensitive Binary Data," Econometrics and Statistics, Elsevier, vol. 27(C), pages 16-35.
- Baragatti, M. & Pommeret, D., 2012. "A study of variable selection using g-prior distribution with ridge parameter," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1920-1934.
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Keywords
Conditional and marginal data augmentation; MCMC; Binary data; Latent variable methods; Spatial statistics;All these keywords.
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