Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models

15 March 2018

Papers citing "Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models"

10 / 10 papers shown

Title
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 125 195 0 05 May 2021
Generalized Permutohedra from Probabilistic Graphical Models F. Mohammadi Caroline Uhler Charles Wang Josephine Yu 112 22 0 06 Jun 2016
Partition MCMC for inference on acyclic digraphs Jack Kuipers G. Moffa 108 90 0 20 Apr 2015
Addendum on the scoring of Gaussian directed acyclic graphical models Jack Kuipers G. Moffa David Heckerman 112 70 0 27 Feb 2014
Learning directed acyclic graphs based on sparsest permutations Garvesh Raskutti Caroline Uhler CML 76 37 0 01 Jul 2013
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation Thomas Verma Judea Pearl CML 48 298 0 13 Mar 2013
Data Analysis with Bayesian Networks: A Bootstrap Approach N. Friedman M. Goldszmidt A. Wyner TPM 79 377 0 23 Jan 2013
Strong Faithfulness and Uniform Consistency in Causal Inference Jiji Zhang Peter Spirtes 72 108 0 19 Oct 2012
Geometry of the faithfulness assumption in causal inference Caroline Uhler Garvesh Raskutti Peter Buhlmann B. Yu 94 220 0 02 Jul 2012
Computing Posterior Probabilities of Structural Features in Bayesian Networks Jin Tian Ru He UQCV TPM 131 40 0 09 May 2012