Introduces Generalized N Factor Model and LGES algorithm that identifies true causal structure including latents up to Markov equivalence class via score-based greedy search.
Algebraic sparse factor analysis
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Introduces score-based causal discovery algorithms for latent variable models that achieve score equivalence and consistency while unifying some existing constraint-based approaches via degrees-of-freedom characterization.
citing papers explorer
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Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
Introduces Generalized N Factor Model and LGES algorithm that identifies true causal structure including latents up to Markov equivalence class via score-based greedy search.
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Score-Based Causal Discovery of Latent Variable Causal Models
Introduces score-based causal discovery algorithms for latent variable models that achieve score equivalence and consistency while unifying some existing constraint-based approaches via degrees-of-freedom characterization.