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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
Research article (International Journal of Data Science and Analytics, 2016) · cited 319× · AI/ML
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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images is a scholarly article[1].
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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. Retrieved October 17, 2026, from https://4ort.xyz/entity/a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal
MLA“A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 17 Oct. 2026, https://4ort.xyz/entity/a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal.
BibTeX@misc{4ortxyz_a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal}, note = {Accessed: 2026-10-17}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images — https://4ort.xyz/entity/a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal (retrieved 2026-10-17)
