Posterior Graph Selection and Estimation Consistency for
High-dimensional Bayesian DAG Models

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Posterior Graph Selection and Estimation Consistency for High-dimensional Bayesian DAG Models

3 November 2016

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Papers citing "Posterior Graph Selection and Estimation Consistency for High-dimensional Bayesian DAG Models"

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Title
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances David Strieder Mathias Drton CML 45 5 0 08 Sep 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models R. Tahmasbi Keyvan Tahmasbi 49 0 0 12 Apr 2023
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 109 28 0 10 Sep 2022
A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions Srijata Samanta Kshitij Khare George Michailidis 130 8 0 14 Jan 2022
Confidence in Causal Discovery with Linear Causal Models David Strieder Tobias Freidling Stefan Haffner Mathias Drton CML 61 11 0 10 Jun 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 67 18 0 17 Jul 2020
High-dimensional posterior consistency for hierarchical non-local priors in regression Xuan Cao Kshitij Khare M. Ghosh 60 17 0 19 Sep 2017
Estimating Large Precision Matrices via Modified Cholesky Decomposition Kyoungjae Lee Jaeyong Lee 74 23 0 04 Jul 2017