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.
and Harrison, Lee and Penny, Will , title =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.