Results 211 to 220 of about 80,806 (260)

Structural covariance of early visual cortex is negatively associated with PTSD symptoms: A Mega-Analysis from the ENIGMA PTSD workgroup

Harnett NG, Joshi S, Kumar P, Russell C, Dillon DG, Baker JT, Pizzagalli DA, Kaufman ML, Nickerson LN, Jahanshad N, Salminen LE, Thomopoulos SI, Frijling JL, Veltman DJ, Koch SB, Nawijn L, van Zuiden M, Zhu Y, Li G, Ipser J, Zhu X, Ravid O, Zilcha-Mano S, Lazarov A, Suarez-Jimenez B, Sun D, Hussain A, Huggins AA, Jovanovic T, van Rooij SJ, Fani N, Hudson AR, Sierk A, Manthey A, Walter H, van der Wee NJ, van der Werff SJ, Vermeiren RR, Říha P, Lebois LAM, Rosso IM, Olson EA, Liberzon I, Angstadt M, Disner SG, Sponheim SR, Koopowitz S, Hofmann D, Qi R, Maron-Katz A, Kunch A, Xie H, El-Hage W, Berg H, Bruce SE, McLaughlin KA, Peverill M, Sambrook K, Ross M, Herringa RJ, Nitschke JB, Davidson RJ, deRoon-Cassini TA, Tomas CW, Fitzgerald JM, Blackford JU, Olatunji BO, Nelson SM, Gordon EM, Densmore M, Théberge J, Neufeld RW, Olff M, Wang L, Stein DJ, Neria Y, Stevens JS, Mueller SC, Daniels JK, Rektor I, King A, Davenport ND, Straube T, Lu G, Etkin A, Wang X, Quidé Y, Lissek S, Cisler J, Grupe DW, Larson C, Feola B, May G, Abdallah CG, Lanius R, Thompson PM, Morey RA, Ressler K.   +97 more
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Analysis of Covariance Structures

Psychometrika, 1966
A general method is presented for estimating variance components when the experimental design has one random way of classification and a possibly unbalanced fixed classification. The procedure operates on a sample covariance matrix in which the fixed classes play the role of variables and the random classes correspond to observations.
R D, Bock, R E, Bargmann
openaire   +2 more sources

Functional Data Analysis with Covariate-Dependent Mean and Covariance Structures

Biometrics, 2022
Abstract Functional data analysis has emerged as a powerful tool in response to the ever-increasing resources and efforts devoted to collecting information about response curves or anything that varies over a continuum. However, limited progress has been made with regard to linking the covariance structures of response curves to external
Chenlin Zhang, Huazhen Lin, Li Liu, Jin Liu, Yi Li   +4 more
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On the estimation of structured covariance matrices

Automatica, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ZORZI, MATTIA, FERRANTE, AUGUSTO
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Cross-Validation Of Covariance Structures

Multivariate Behavioral Research, 1983
This paper examines methods for comparing the suitability of alternative models for covariance matrices. A cross-validation procedure is suggested and its properties are examined. To motivate the discussion, a series of examples is presented using longitudinal data.
R, Cudeck, M W, Browne
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Covariance structures for multidimensional data

[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Timothy A. Barton, Daniel R. Fuhrmann
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Structured Robust Covariance Estimation

Foundations and Trends® in Signal Processing, 2015
We consider robust covariance estimation with an emphasis on Tyler’s M-estimator. This method provides accurate inference of an unknown covariance in non-standard settings, including heavy-tailed distributions and outlier contaminated scenarios. We begin with a survey of the estimator and its various derivations in the classical unconstrained settings.
Wiesel, Ami, Zhang, Teng
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