| A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption. | 0 | 0.34 | 2022 |
| Mixed Graphical Models for Integrative Causal Analysis with Application to Chronic Lung Disease Diagnosis and Prognosis. | 1 | 0.36 | 2019 |
| Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values | 0 | 0.34 | 2019 |
| Fast causal inference with non-random missingness by test-wise deletion. | 2 | 0.39 | 2018 |
| Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding | 0 | 0.34 | 2018 |
| Causal Discovery With Linear Non-Gaussian Models Under Measurement Error: Structural Identifiability Results | 0 | 0.34 | 2018 |
| Mixed Graphical Models for Causal Analysis of Multi-modal Variables. | 0 | 0.34 | 2017 |
| Estimating bounds on causal effects in high-dimensional and possibly confounded systems. | 3 | 0.41 | 2017 |
| Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. | 0 | 0.34 | 2017 |
| Methods To Expand Cell Signaling Models Using Automated Reading And Model Checking | 0 | 0.34 | 2017 |
| Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints. | 0 | 0.34 | 2017 |
| Estimating Causal Effects with Ancestral Graph Markov Models. | 0 | 0.34 | 2016 |
| The three faces of faithfulness | 3 | 0.41 | 2016 |
| A Hybrid Causal Search Algorithm for Latent Variable Models. | 4 | 0.42 | 2016 |
| Causal Clustering for 2-Factor Measurement Models. | 3 | 0.49 | 2014 |
| Data-driven covariate selection for nonparametric estimation of causal effects. | 8 | 0.57 | 2013 |
| Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models. | 1 | 0.54 | 2013 |
| Causal inference in the presence of latent variables and selection bias | 28 | 5.92 | 2013 |
| Detecting causal relations in the presence of unmeasured variables | 5 | 0.67 | 2013 |
| Directed cyclic graphical representations of feedback models | 21 | 4.02 | 2013 |
| Causal discovery of linear acyclic models with arbitrary distributions | 19 | 1.34 | 2012 |
| Strong faithfulness and uniform consistency in causal inference | 18 | 3.27 | 2012 |
| Statistical test for consistent estimation of causal effects in linear non-Gaussian models | 0 | 0.34 | 2012 |
| Statistical test for consistent estimation of causal effects in linear non-Gaussian models. | 4 | 0.62 | 2012 |
| Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables | 0 | 0.34 | 2011 |
| Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. | 13 | 0.74 | 2011 |
| Intervention, determinism, and the causal minimality condition. | 4 | 0.63 | 2011 |
| On meta-analyses of imaging data and the mixture of records. | 5 | 0.73 | 2011 |
| When causality matters for prediction. | 0 | 0.34 | 2010 |
| Introduction to Causal Inference | 10 | 0.63 | 2010 |
| Actual causation: a stone soup essay | 6 | 1.17 | 2010 |
| When causality matters for prediction | 0 | 0.34 | 2010 |
| Nonlinear directed acyclic structure learning with weakly additive noise models. | 6 | 0.93 | 2009 |
| Discovering Cyclic Causal Models by Independent Components Analysis | 31 | 1.90 | 2008 |
| Design and Analysis of the Causation and Prediction Challenge | 31 | 1.87 | 2008 |
| Tabu Search-Enhanced Graphical Models for Classification in High Dimensions | 8 | 0.53 | 2008 |
| Feature Ranking Using Linear SVM | 58 | 2.29 | 2008 |
| Detection of Unfaithfulness and Robust Causal Inference | 27 | 2.53 | 2008 |
| Graphical Models for the Identification of Causal Structures in Multivariate Time Series Models | 11 | 1.25 | 2006 |
| Learning the Structure of Linear Latent Variable Models | 55 | 5.69 | 2006 |
| Adjacency-Faithfulness and Conservative Causal Inference | 54 | 3.38 | 2006 |
| A Theoretical Study of Y Structures for Causal Discovery | 4 | 0.49 | 2006 |
| Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables | 9 | 0.97 | 2005 |
| A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables | 4 | 0.60 | 2005 |
| A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays. | 11 | 1.70 | 2003 |
| Learning measurement models for unobserved variables | 8 | 1.60 | 2003 |
| Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition | 4 | 0.49 | 2002 |
| Semi-instrumental variables: a test for instrument admissibility | 1 | 0.41 | 2001 |
| An Anytime Algorithm for Causal Inference. | 12 | 1.09 | 2001 |
| An Evaluation Of Machine-Learning Methods For Predicting Pneumonia Mortality | 48 | 12.86 | 1997 |
