Results 101 to 110 of about 22,359,362 (203)

Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders. [PDF]

Brain
Mongay-Ochoa N, Gonzalez-Escamilla G, Fleischer V, Pareto D, Rovira À, Sastre-Garriga J, Groppa S.   +6 more
europepmc   +1 more source

Hierarchical multivariate covariance analysis of metabolic connectivity. [PDF]

J Cereb Blood Flow Metab, 2014
Carbonell F, Charil A, Zijdenbos AP, Evans AC, Bedell BJ, Alzheimer's Disease Neuroimaging Initiative.   +5 more
europepmc   +1 more source

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, Fernández-Avilés, G, Mateu, J   +2 more
core  

Quantifying neurodegeneration and vulnerable networks with the aid of structural covariance analysis from magnetic resonance imaging. [PDF]

Neural Regen Res
Schröter N, Martens D, Yilmaz U, Gonzalez-Escamilla G, Groppa S.   +4 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  

Bootstrapping heteroskedasticity consistent covariance matrix estimator [PDF]

Recent results of Cribari-Neto and Zarkos (1999) show that bootstrap methods can be successfully used to estimate a heteroskedasticity robust covariance matrix estimator. In this paper, we show that the wild bootstrap estimator can be calculated directly,
Emmanuel Flachaire
core  

Local genetic covariance analysis with lipid traits identifies novel loci for early-onset Alzheimer's Disease. [PDF]

PLoS Genet
Ray NR, Bradley J, Yilmaz E, Kizil C, Kurup JT, Martin ER, Klein HU, Kunkle BW, Bennett DA, De Jager PL, Alzheimer’s Disease Genetics Consortium, Beecham GW, Cruchaga C, Reitz C.   +13 more
europepmc   +1 more source

State-space modelling for infectious disease surveillance data: Dynamic regression and covariance analysis. [PDF]

Infect Dis Model
Prashad CD.
europepmc   +1 more source

Pain Severity During Hysteroscopy by GUBBINI System in Local Anesthesia: Covariance Analysis of Treatment and Effects, Including Patient Emotional State. [PDF]

J Clin Med
Chmaj-Wierzchowska K, Jasielska A, Wszołek K, Tomczyk K, Lach A, Mruczyński A, Niegłos M, Wilczyńska A, Bednarek K, Wilczak M.   +9 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, Joossens, Kristel, Filzmoser, P.   +2 more
core