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Covariance

Pearson residual and efficiency of parameter estimates in generalized linear model

Statistics / Data Analysis / Clinical Trial / Biometrics / Parameter estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation

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Spatio-Temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data

Image Processing / Data Analysis / Evaluation / Functional MRI / Hemodynamics / Temporal Correlation / Medical Image / Spatial Variation / Error Processing / Multivariate Regression / Statistical Model / Digital Image / Nuclear Magnetic Resonance Imaging / Covariance / Temporal Correlation / Medical Image / Spatial Variation / Error Processing / Multivariate Regression / Statistical Model / Digital Image / Nuclear Magnetic Resonance Imaging / Covariance

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Robust Kernel Principal Component Analysis

Functional Analysis / Algorithms / Principal Component Analysis / Decomposition / Neural Network / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier

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