Williams, 2021 - Google Patents
Bayesian estimation for Gaussian graphical models: Structure learning, predictability, and network comparisonsWilliams, 2021
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- 5365819718170683599
- Author
- Williams D
- Publication year
- Publication venue
- Multivariate Behavioral Research
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Snippet
Gaussian graphical models (GGM;“networks”) allow for estimating conditional dependence structures that are encoded by partial correlations. This is accomplished by identifying non- zero relations in the inverse of the covariance matrix. In psychology the default estimation …
- 239000011159 matrix material 0 abstract description 36
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- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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