Markov Boundary Discovery Based on Variant Ridge Regularized Linear Models

Markov Boundary Discovery Based on Variant Ridge Regularized Linear Models

It has been proved that the modified form of ridge regularized linear models (MRRLMs) can get “very close” to identifying a subset of Markov boundary. However, it is assumed that the covariance matrix is non-singular, so MRRLMs cannot be applied to discover the Markov boundary...

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Bibliographic Details
Main Authors: Shu Yan, Chaoyuan Cui, Bingyu Sun, Rujing Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
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Markov boundary
Markov blanket
variant ridge regression models
linear regression models
Online Access:https://ieeexplore.ieee.org/document/8742897/

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https://ieeexplore.ieee.org/document/8742897/

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