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Learning directed acyclic graph models based on sparsest permutations

https://doi.org/10.1002/sta4.183
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Learning Bayesian Networks is NP-Complete
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Causation, Prediction, and Search
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Lectures on Algebraic Statistics
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The max-min hill-climbing Bayesian network structure learning algorithm
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Detection of Unfaithfulness and Robust Causal Inference
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The three faces of faithfulness
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An Algorithm for the Construction of Bayesian Network Structures from Data
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Optimizing Causal Orderings for Generating DAGs from Data
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Probabilistic Reasoning in Intelligent Systems
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Conservative independence-based causal structure learning in absence of adjacency faithfulness
inferredcites →https://doi.org/10.1093/biomet/10.4.507openalex-snapshot
FREQUENCY DISTRIBUTION OF THE VALUES OF THE CORRELATION COEFFIENTS IN SAMPLES FROM AN INDEFINITELY LARGE POPU;ATION
inferredcites →https://doi.org/10.1093/biomet/86.3.677openalex-snapshot
Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
inferredcites →https://doi.org/10.1093/biomet/90.3.491openalex-snapshot
Uniform consistency in causal inference
inferredcites →https://doi.org/10.1093/biomet/asaa104openalex-snapshot
Consistency guarantees for greedy permutation-based causal inference algorithms
inferredcites →https://doi.org/10.1093/bjps/axs005openalex-snapshot
A Comparison of Three Occam's Razors for Markovian Causal Models
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Causal Inference on Discrete Data Using Additive Noise Models
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Computing the Minimum Fill-In is NP-Complete
inferredcites →https://doi.org/10.1137/1.9780898718881openalex-snapshot
Direct Methods for Sparse Linear Systems
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The Evolution of the Minimum Degree Ordering Algorithm
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Equivalence and Synthesis of Causal Models
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10.1162/153244303321897717
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Multiple Testing and Error Control in Gaussian Graphical Model Selection
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Geometry of the faithfulness assumption in causal inference
inferredcites →https://doi.org/10.1214/13-aos1085openalex-snapshot
$\ell_{0}$-penalized maximum likelihood for sparse directed acyclic graphs
inferredcites →https://doi.org/10.1214/13-sts429openalex-snapshot
A Uniformly Consistent Estimator of Causal Effects under the $k$-Triangle-Faithfulness Assumption
inferredcites →https://doi.org/10.1215/00318108-110-4-639openalex-snapshot
CAUSALITY: MODELS, REASONING AND INFERENCE
inferredcites →https://doi.org/10.13140/2.1.1125.2169openalex-snapshot
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
inferredcites →https://doi.org/10.18637/jss.v035.i03openalex-snapshot
Learning Bayesian Networks with the bnlearn R Package
inferredcites →https://doi.org/10.18637/jss.v047.i11openalex-snapshot
Causal Inference Using Graphical Models with the R Package pcalg
inferredcites →https://doi.org/10.2307/2331838openalex-snapshot
Frequency Distribution of the Values of the Correlation Coefficient in Samples from an Indefinitely Large Population
inferredcites →https://doi.org/10.48550/arxiv.1212.2506openalex-snapshot
Strong Faithfulness and Uniform Consistency in Causal Inference
inferredcites →https://doi.org/10.48550/arxiv.1309.6779openalex-snapshot
Causal Discovery with Continuous Additive Noise Models
inferredcites →https://doi.org/10.48550/arxiv.math/0510436openalex-snapshot
Estimating high-dimensional directed acyclic graphs with the PC-algorithm
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Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
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Causal discovery with continuous additive noise models
inferredcites →https://doi.org/10.7551/mitpress/1754.001.0001openalex-snapshot
Causation, Prediction, and Search

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The Frugal Inference of Causal Relations
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Size of Interventional Markov Equivalence Classes in Random DAG Models
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A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs
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