Mathematical Genesis of the Spatio-Temporal Covariance Functions [PDF]
Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics.
Montero, JM +2 more
core +1 more source
Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition. [PDF]
Heliyon, 2019 Ye C +9 more
europepmc +1 more source
Random Covariance Heterogeneity in Discrete Choice Models [PDF]
The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Stephane Hess, John Polak, Denis Bolduc
core
Impact of sex and reproductive status on memory circuitry structure and function in early midlife using structural covariance analysis. [PDF]
Hum Brain Mapp, 2019 Seitz J +9 more
europepmc +1 more source
Hierarchical multivariate covariance analysis of metabolic connectivity. [PDF]
J Cereb Blood Flow Metab, 2014 Carbonell F +5 more
europepmc +1 more source
Classification efficiencies for robust linear discriminant analysis. [PDF]
Linear discriminant analysis is typically carried out using Fisher’s method. This method relies on the sample averages and covariance matrices computed from the different groups constituting the training sample.
Croux, Christophe +2 more
core
Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders. [PDF]
BrainMongay-Ochoa N +6 more
europepmc +1 more source
Econometric Computing with HC and HAC Covariance Matrix Estimators [PDF]
Data described by econometric models typically contains autocorrelation and/or heteroskedasticity of unknown form and for inference in such models it is essential to use covariance matrix estimators that can consistently estimate the covariance of the ...
Achim Zeileis
core +1 more source
On relative efficiency of Quasi-MLE and GMM estimators of covariance structure models [PDF]
Optimal GMM is known to dominate Gaussian QMLE in terms of asymptotic efficiency (Chamberlain, 1984). I derive a new condition under which QMLE is as efficient as GMM for a general class of covariance structure models.
Artem Prokhorov
core
Quantifying cadherin mechanotransduction machinery assembly/disassembly dynamics using fluorescence covariance analysis. [PDF]
Sci Rep, 2016 Vedula P +6 more
europepmc +1 more source