Affiliation:
1. Institute of Statistics and Big Data, Renmin University of China
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference64 articles.
1. Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Information Science and Statistics. Springer, New York.
2. GEMAN, S. and GEMAN, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6 721–741.
3. FRALEY, C. and RAFTERY, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. J. Amer. Statist. Assoc. 97 611–631.
4. Miao, W., Ding, P. and Geng, Z. (2016). Identifiability of normal and normal mixture models with nonignorable missing data. J. Amer. Statist. Assoc. 111 1673–1683.
5. GELMAN, A., CARLIN, J. B., STERN, H. S., DUNSON, D. B., VEHTARI, A. and RUBIN, D. B. (2013). Bayesian Data Analysis, 3rd ed. Texts in Statistical Science Series. CRC Press, Boca Raton, FL.
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