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Journal of the American Statistical Association Volume 119, 2024 - Issue 546
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Theory and Methods

Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models

Christoph Schultheissa Seminar for Statistics, ETH Zürich, Zurich, SwitzerlandCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7245-6934View further author information
ORCID Icon,
Peter Bühlmanna Seminar for Statistics, ETH Zürich, Zurich, SwitzerlandORCID Iconhttps://orcid.org/0000-0002-1782-6015View further author information
ORCID Icon &
Ming Yuanb Department of Statistics, Columbia University, New York, NYView further author information
Pages 1019-1031 | Received 24 Nov 2021, Accepted 29 Nov 2022, Published online: 24 Feb 2023

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Higher-order least squares: assessing partial goodness of fit of linear causal models
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