Missing Data Imputation Using the Multivariate t Distribution
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- Tang, Yongqiang, 2015. "An efficient monotone data augmentation algorithm for Bayesian analysis of incomplete longitudinal data," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 146-152.
- Jie Jiang & Xinsheng Liu & Keming Yu, 2013. "Maximum likelihood estimation of multinomial probit factor analysis models for multivariate t-distribution," Computational Statistics, Springer, vol. 28(4), pages 1485-1500, August.
- M.J. Daniels & C. Wang & B.H. Marcus, 2014. "Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates," Biometrics, The International Biometric Society, vol. 70(1), pages 62-72, March.
- Gerda Claeskens & Fabrizio Consentino, 2008. "Variable Selection with Incomplete Covariate Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1062-1069, December.
- Sik-Yum Lee & Ye-Mao Xia, 2008. "A Robust Bayesian Approach for Structural Equation Models with Missing Data," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 343-364, September.
- Margaret Y Hwang & David Weil, 1997. "The Diffusion of Modern Manufacturing Practices: Evidence from Retail-Apparel Sectors," Working Papers 97-11, Center for Economic Studies, U.S. Census Bureau.
- Atkinson, A. C. & Cheng, Tsung-Chi, 2000. "On robust linear regression with incomplete data," Computational Statistics & Data Analysis, Elsevier, vol. 33(4), pages 361-380, June.
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