Marginal likelihood and model selection for Gaussian latent tree and forest models
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Piotr Zwiernik | Shaowei Lin | Mathias Drton | Luca Weihs | Luca Weihs | M. Drton | Piotr Zwiernik | Shaowei Lin
[1] Richard Scheines,et al. Causation, Prediction, and Search, Second Edition , 2000, Adaptive computation and machine learning.
[2] David Edwards,et al. Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests , 2010, BMC Bioinformatics.
[3] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[4] Tal Pupko,et al. A structural EM algorithm for phylogenetic inference , 2001, J. Comput. Biol..
[5] Vincent Y. F. Tan,et al. Learning Latent Tree Graphical Models , 2010, J. Mach. Learn. Res..
[6] Sumio Watanabe,et al. Algebraic Geometry and Statistical Learning Theory: Contents , 2009 .
[7] Sumio Watanabe,et al. Statistical Learning Theory of Quasi-Regular Cases , 2011, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[8] Lior Pachter,et al. Combinatorics of least-squares trees , 2008, Proceedings of the National Academy of Sciences.
[9] Tao Jiang,et al. On the Complexity of Comparing Evolutionary Trees , 1996, Discret. Appl. Math..
[10] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[11] M. Plummer,et al. A Bayesian information criterion for singular models , 2013, 1309.0911.
[12] Dan Geiger,et al. Asymptotic Model Selection for Naive Bayesian Networks , 2002, J. Mach. Learn. Res..
[13] Piotr Zwiernik. An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models , 2011, J. Mach. Learn. Res..
[14] Shaowei Lin,et al. Asymptotic Approximation of Marginal Likelihood Integrals , 2010 .
[15] Sumio Watanabe,et al. Equations of States in Singular Statistical Estimation , 2007, Neural Networks.
[16] Elchanan Mossel,et al. Robust Estimation of Latent Tree Graphical Models: Inferring Hidden States With Inexact Parameters , 2011, IEEE Transactions on Information Theory.
[17] Sumio Watanabe,et al. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory , 2010, J. Mach. Learn. Res..
[18] M. Drton. Likelihood ratio tests and singularities , 2007, math/0703360.
[19] Vincent Y. F. Tan,et al. Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates , 2010, J. Mach. Learn. Res..
[20] Seth Sullivant,et al. Lectures on Algebraic Statistics , 2008 .