Large dimensional latent factor modeling with missing observations and applications to causal inference

Research article (Journal of Econometrics, 2022) · cited 62× · AI/ML
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Large dimensional latent factor modeling with missing observations and applications to causal inference

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Large dimensional latent factor modeling with missing observations and applications to causal inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Large dimensional latent factor modeling with missing observations and applications to causal inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-dimensional-latent-factor-modeling-with-missing-observations-and-applications-to-causal-inference
MLA “Large dimensional latent factor modeling with missing observations and applications to causal inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-dimensional-latent-factor-modeling-with-missing-observations-and-applications-to-causal-inference.
BibTeX @misc{4ortxyz_large-dimensional-latent-factor-modeling-with-missing-observations-and-applications-to-causal-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large dimensional latent factor modeling with missing observations and applications to causal inference}}, year = {2026}, url = {https://4ort.xyz/entity/large-dimensional-latent-factor-modeling-with-missing-observations-and-applications-to-causal-inference}, note = {Accessed: 2026-05-24}}
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