A new characterization of partial correlations in multivariate Gaussian processes via spectrally inside-out models that factorizes partial cross-correlations and gives conditions for conditional independence.
Journal of the American Statistical Association , Year =
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Introduces spSSA extending SSA to spatial data via three generalized eigenvalue procedures and a data augmentation method to estimate nonstationary subspace dimension.
MtFAD plus MOBSynC on GAMA data yields eight simple clusters that merge into red and blue sequences containing substructure tied to mass quenching, environmental quenching, morphology and environment.
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Partial correlation networks of Gaussian processes
A new characterization of partial correlations in multivariate Gaussian processes via spectrally inside-out models that factorizes partial cross-correlations and gives conditions for conditional independence.
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Stationary subspace analysis for spatial data
Introduces spSSA extending SSA to spatial data via three generalized eigenvalue procedures and a data augmentation method to estimate nonstationary subspace dimension.
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Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
MtFAD plus MOBSynC on GAMA data yields eight simple clusters that merge into red and blue sequences containing substructure tied to mass quenching, environmental quenching, morphology and environment.