Under equal noise variance in structural VAR models, observational equivalence classes are defined by orthogonal transformations and a global positive scale, enabling the ENVAR procedure to identify sparse causal structures from the observed process.
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Causal Discovery in Structural VAR Models Under Equal Noise Variance
Under equal noise variance in structural VAR models, observational equivalence classes are defined by orthogonal transformations and a global positive scale, enabling the ENVAR procedure to identify sparse causal structures from the observed process.