Penalized likelihood methods for covariance selection in the context of non-stationary data
Graphical models have established themselves as fundamental tools through which to understand complex relationships in high-dimensional datasets. Applications abound, a pertinent example being neuroimaging where Gaussian graphical models are employed to model statistical dependencies across spatiall...
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Imperial College London
2017
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.718447 |