Resolvents of the sample covariances in the separable mixture model approximate deterministic matrices defined via solutions to a dual system of equations, without simultaneous diagonalizability assumptions.
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Early psychosis shows systematic shifts in scaling exponents across PRG, PSD, and DFA observables in fMRI while maintaining scale-invariant organization within a critical regime rather than losing criticality.
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Spectral approximation for the separable covariance mixture model
Resolvents of the sample covariances in the separable mixture model approximate deterministic matrices defined via solutions to a dual system of equations, without simultaneous diagonalizability assumptions.
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Early psychosis shows deviations in scaling behaviour within a critical regime
Early psychosis shows systematic shifts in scaling exponents across PRG, PSD, and DFA observables in fMRI while maintaining scale-invariant organization within a critical regime rather than losing criticality.
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