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Edgeworth expansions in very-high-dimensional problems

, , and . Journal of Statistical Planning and Inference, 70 (1): 1--18 (Jul 1, 1998)

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Parameter estimation for hidden Markov chains, and . Journal of Statistical Planning and Inference, 108 (1-2): 365--390 (Nov 1, 2002)The exploration of new methods for learning in binary Boltzmann machines., and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)On the determination of the number of components in a mixture, and . Statistics & Probability Letters, 38 (4): 295--298 (Jul 1, 1998)Reparametrization stragegies for hidden Markov models and Bayesian approaches to maximum likelihood estimation, and . Statistics and Computing, (1998)Mean fields and two-dimensional Markov random fields in image analysis., and . Pattern Anal. Appl., 1 (4): 248-260 (1998)Transdimensional sequential Monte Carlo using variational Bayes - SMCVB., , , , and . Comput. Stat. Data Anal., (2016)Probabilistic Image Processing based on the Q-Ising Model by Means of the Mean-Field Method and Loopy Belief Propagation., and . ICPR (2), page 40-43. IEEE Computer Society, (2004)Variational Bayes Estimation of Mixing Coefficients., and . Deterministic and Statistical Methods in Machine Learning, volume 3635 of Lecture Notes in Computer Science, page 281-295. Springer, (2004)Statistical analysis of finite mixture distributions, , and . John Wiley & Sons, Chichester, (1985)Loopy belief propagation and probabilistic image processing., , and . NNSP, page 329-338. IEEE, (2003)