Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks

4 May 2018

Papers citing "Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks"

16 / 16 papers shown

Title
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 259 1,433 0 05 Apr 2015
Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles Ali Shojaie A. Jauhiainen M. Kallitsis George Michailidis 93 37 0 02 Dec 2013
From Statistical Evidence to Evidence of Causality P. Dawid M. Musio S. Fienberg CML 68 51 0 29 Nov 2013
Object-Oriented Bayesian Networks D. Koller Avi Pfeffer UQCV 119 632 0 06 Feb 2013
Learning the Structure of Dynamic Probabilistic Networks N. Friedman Kevin P. Murphy Stuart J. Russell TPM 99 704 0 30 Jan 2013
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm N. Friedman I. Nachman Dana Peér 166 652 0 23 Jan 2013
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs Yangbo He Jinzhu Jia Bin Yu 84 35 0 26 Sep 2012
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 385 783 0 11 Sep 2012
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables F. Eberhardt Clark Glymour R. Scheines 95 155 0 04 Jul 2012
Discovering Cyclic Causal Models by Independent Components Analysis Gustavo Lacerda Peter Spirtes Joseph Ramsey P. Hoyer CML 104 187 0 13 Jun 2012
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search Brandon M. Malone Changhe Yuan E. Hansen S. Bridges 131 42 0 14 Feb 2012
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 126 466 0 29 Apr 2011
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 207 509 0 06 Aug 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons Nicolas Verzélen 276 153 0 03 Aug 2010
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty Ali Shojaie George Michailidis CML 141 214 0 03 Jul 2010
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 169 1,733 0 26 Aug 2009