Objective Bayesian Search of Gaussian Directed Acyclic Graphical Models for Ordered Variables with Non‐Local Priors
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[1] James G. Scott,et al. Feature-Inclusion Stochastic Search for Gaussian Graphical Models , 2008 .
[2] James G. Scott,et al. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem , 2010, 1011.2333.
[3] N. Meinshausen,et al. High-dimensional graphs and variable selection with the Lasso , 2006, math/0608017.
[4] N. Wermuth,et al. Sequences of regressions and their independences , 2011, 1110.1986.
[5] Guido Consonni,et al. Moment priors for Bayesian model choice with applications to directed acyclic graphs , 2011 .
[6] Alexandre d'Aspremont,et al. Model Selection Through Sparse Max Likelihood Estimation Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data , 2022 .
[7] Pierre Baldi,et al. Assessing the accuracy of prediction algorithms for classification: an overview , 2000, Bioinform..
[8] J. Forster,et al. Enhanced objective Bayesian testing for the equality of two proportions , 2010 .
[9] Guido Consonni,et al. Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models , 2012 .
[10] D. Edwards. Introduction to graphical modelling , 1995 .
[11] M. Drton,et al. Multiple Testing and Error Control in Gaussian Graphical Model Selection , 2005, math/0508267.
[12] W. Wong,et al. Learning Causal Bayesian Network Structures From Experimental Data , 2008 .
[13] Alexandre d'Aspremont,et al. Model Selection Through Sparse Maximum Likelihood Estimation , 2007, ArXiv.
[14] A. O'Hagan,et al. Fractional Bayes factors for model comparison , 1995 .
[15] David Heckerman,et al. Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions , 1999, UAI.
[16] James G. Scott,et al. Objective Bayesian model selection in Gaussian graphical models , 2009 .
[17] A. Dawid,et al. Posterior Model Probabilities , 2011 .
[18] M. Drton,et al. Model selection for Gaussian concentration graphs , 2004 .
[19] Elías Moreno,et al. Bayes factors for intrinsic and fractional priors in nested models. Bayesian robustness , 1997 .
[20] Peter Bühlmann,et al. Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm , 2007, J. Mach. Learn. Res..
[21] V. Johnson,et al. Bayesian Model Selection in High-Dimensional Settings , 2012, Journal of the American Statistical Association.
[22] Rainer Spang,et al. Inferring cellular networks – a review , 2007, BMC Bioinformatics.
[23] Luis R. Pericchi,et al. Model Selection and Hypothesis Testing based on Objective Probabilities and Bayes Factors , 2005 .
[24] Kevin P. Murphy,et al. Bayesian structure learning using dynamic programming and MCMC , 2007, UAI.
[25] K. Sachs,et al. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data , 2005, Science.
[26] Ali Shojaie,et al. Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs. , 2009, Biometrika.
[27] J. Berger,et al. Optimal predictive model selection , 2004, math/0406464.
[28] Nir Friedman,et al. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks , 2004, Machine Learning.
[29] Michael I. Jordan,et al. Probabilistic Networks and Expert Systems , 1999 .
[30] V. Johnson,et al. On the use of non‐local prior densities in Bayesian hypothesis tests , 2010 .
[31] Daphne Koller,et al. Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks , 2005, UAI.
[32] James O. Berger,et al. Posterior model probabilities via path‐based pairwise priors , 2005 .
[33] P. Green,et al. Decomposable graphical Gaussian model determination , 1999 .