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Reiko Aoki, Dorival
Leão Pinto Júnior, Jorge
Alberto Achcar & Heleno Bolfarine. (2006) Mixture of Normal Distributions in Multivariate Null Intercept Measurement Error Model. Journal of Biopharmaceutical Statistics 16:6, pages 785-802.
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JamesP. Hobert. (2000) Hierarchical Models: A Current Computational Perspective. Journal of the American Statistical Association 95:452, pages 1312-1316.
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JoanZ. Yu & MartinA. Tanner. (1999) An Analytical Study of Several Markov Chain Monte Carlo Estimators of the Marginal Likelihood. Journal of Computational and Graphical Statistics 8:4, pages 839-853.
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JamesP. Hobert & George Casella. (1998) Functional Compatibility, Markov Chains, and Gibbs Sampling with Improper Posteriors. Journal of Computational and Graphical Statistics 7:1, pages 42-60.
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K.S. Chan & Johannes Ledolter. (1995) Monte Carlo EM Estimation for Time Series Models Involving Counts. Journal of the American Statistical Association 90:429, pages 242-252.
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Articles from other publishers (3)
Bowen Jia, Ling Wang & Hoi Ying Wong. (2023) Machine learning of surrender: Optimality and humanity. Journal of Risk and Insurance.
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Anirban DasGuptaAnirban DasGupta. 2011. Probability for Statistics and Machine Learning. Probability for Statistics and Machine Learning
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Charles J. Geyer. (1994) On the Convergence of Monte Carlo Maximum Likelihood Calculations. Journal of the Royal Statistical Society Series B: Statistical Methodology 56:1, pages 261-274.
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