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[1] R. Moddemeijer. On estimation of entropy and mutual information of continuous distributions , 1989 .
[2] Hoon Kim,et al. Monte Carlo Statistical Methods , 2000, Technometrics.
[3] Christian P. Robert,et al. Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .
[4] Feras Saad,et al. Probabilistic Data Analysis with Probabilistic Programming , 2016, ArXiv.
[5] Bernhard Schölkopf,et al. Kernel Measures of Conditional Dependence , 2007, NIPS.
[6] Bernhard Schölkopf,et al. Measuring Statistical Dependence with Hilbert-Schmidt Norms , 2005, ALT.
[7] Jessika Weiss,et al. Graphical Models In Applied Multivariate Statistics , 2016 .
[8] Daniel Fink. A Compendium of Conjugate Priors , 1997 .
[9] J. Ghosh,et al. POSTERIOR CONSISTENCY OF DIRICHLET MIXTURES IN DENSITY ESTIMATION , 1999 .
[10] Craig Boutilier,et al. Context-Specific Independence in Bayesian Networks , 1996, UAI.
[11] Liam Paninski,et al. Estimation of Entropy and Mutual Information , 2003, Neural Computation.
[12] Radford M. Neal,et al. A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model , 2004 .
[13] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[14] Arthur Gretton,et al. A Kernel Test for Three-Variable Interactions , 2013, NIPS.
[15] Michael I. Jordan,et al. Kernel independent component analysis , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[16] David B. Dunson,et al. Nonparametric Bayes inference on conditional independence , 2014, 1404.1429.
[17] H. White,et al. A Consistent Characteristic-Function-Based Test for Conditional Independence , 2003 .
[18] Ross D. Shachter. Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) , 1998, UAI.
[19] Joshua B. Tenenbaum,et al. CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data , 2015, J. Mach. Learn. Res..
[20] Eric Jonas,et al. Scaling Nonparametric Bayesian Inference via Subsample-Annealing , 2014, AISTATS.
[21] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] Barnabás Póczos,et al. Copula-based Kernel Dependency Measures , 2012, ICML.
[23] Bernhard Schölkopf,et al. Kernel-based Conditional Independence Test and Application in Causal Discovery , 2011, UAI.
[24] Patrick Shafto,et al. BayesDB: A probabilistic programming system for querying the probable implications of data , 2015, ArXiv.
[25] J. N. R. Jeffers,et al. Graphical Models in Applied Multivariate Statistics. , 1990 .
[26] Graham J. Wills,et al. Introduction to graphical modelling , 1995 .
[27] J. Rombouts,et al. Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality , 2012 .
[28] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[29] Moon,et al. Estimation of mutual information using kernel density estimators. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[30] M. Escobar,et al. Bayesian Density Estimation and Inference Using Mixtures , 1995 .
[31] Bernhard Schölkopf,et al. The Randomized Dependence Coefficient , 2013, NIPS.
[32] Carl E. Rasmussen,et al. Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution , 2010, Journal of Computer Science and Technology.