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sparse cggm

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Neural Information Processing SystemsOct-2-2025, 18:52:52 GMT

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper introduces the case of estimating a sparse chain graphical model in a high-dimensional data setting. It estimates a sparse autoregressive and sparse covariance structure. The method considers one-and multi-levels chain graphical models. The examples and applications are interesting.

chain graph model, reviewer, sparse cggm, (12 more...)

Neural Information Processing Systems

Country: North America > Canada > Quebec > Montreal (0.05)

Industry: Health & Medicine (0.32)

Technology:

Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.73)

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