Ferenc Huszár • 6/10/2021

Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models

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This technical article, part of a series on causal inference, delves into causal diagrams, Markov factorization, and structural equation models. It explains how causal models provide a more granular view than statistical models and discusses the concept of a 'disentangled' or causal factorization as the true representation of the data-generating process.

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#statistics #Causal Inference #Markov Factorization
Causal inference 4: Causal Diagrams, Markov Factorization, Structural Equation Models

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