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Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes 由 Jesper Andersson, Stamatios N. Sotiropoulos

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Functional CAR Models for Large Spatially Correlated Functional Datasets 由 Zhang Li, Veerabhadran Baladandayuthapani, Hongxiao Zhu, Keith Baggerly, Tadeusz Majewski, Bogdan Czerniak, Jeffrey S. Morris

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Network-level structural covariance in the developing brain 由 Brandon A. Zielinski, Efstathios D. Gennatas, Juan Zhou, William W. Seeley

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A Covariance Function for Feed Intake, Live weight, and Milk Yield Estimated Using a Random Regression Model 由 R.F. Veerkamp, R. Thompson

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Covariance of nonstationary sodium current fluctuations at the node of Ranvier 由 F.J. Sigworth

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Covariance Functions Across Herd Production Levels for Test Day Records on Milk, Fat, and Protein Yields 由 R.F. Veerkamp, Michael E. Goddard

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The Use of Covariance Functions and Random Regressions for Genetic Evaluation of Milk Production Based on Test Day Records 由 J. H. J. van der Werf, Michael E. Goddard, Karin Meyer

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Random regression models to estimate genetic parameters for milk production of Guzerat cows using orthogonal Legendre polynomials 由 Maria Gabriela Campolina Diniz Peixoto, Daniel Jordan de Abreu Santos, Rusbel Raúl Aspilcueta Borquis, F. A. T. Bruneli, J. C. do C. Panetto, Humberto Tonhati

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Restricted maximum likelihood estimation of covariances in sparse linear models 由 Arnold Neumaier, Eildert Groeneveld

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Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data 由 Ulrike Ober, Malena Erbe, Nanye Long, Emilio Porcu, Martin Schlather, Henner Simianer

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Genetic parameters for post weaning growth of Nellore cattle using polinomyals and trigonometric functions in random regression models 由 Osmar Jesus Macedo, Décio Barbin, Gérson Barreto Mourão

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Variance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae) 由 Lenira El Faro, Vera Lúcia Cardoso, Lúcia Galvão de Albuquerque

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Estimating covariance functions for longitudinal data using a random regression model 由 Karin Meyer

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Genetic Parameters of Legendre Polynomials for First Parity Lactation Curves 由 M.H. Pool, Luc Janss, T.H.E. Meuwissen

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Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study 由 Florian Yger, Fabien Lotte, Masashi Sugiyama

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Comparing Large Covariance Matrices under Weak Conditions on the Dependence Structure and its Application to Gene Clustering 由 Jinyuan Chang, Wen Zhou, Wen-Xin Zhou, Lan Wang

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ESTIMATES COVARIANCE FUNCTIONS TO GOATS MILK PRODUCTION USING REGRESSION MODELS RANDOM 由 Wéverton José Lima Fonseca, Wéverson Lima Fonseca, Laylson da Silva Borges, Amauri Felipe Evangelista, Paulo Henrique Amaral Araújo de Sousa, Genilson Sousa do Nascimento, Carlandia Pacheco de Figueiredo, Teobaldo Florêncio de Almeida Júnior, Leandro de Oliveira Guerras, Diego Helcias Cavalcante, Severino Cavalcante de Sousa Júnior

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Covariance Genetic Estimates For Features Tabapuã Growth In Brazil 由 Wéverton José Lima Fonseca, Amauri Felipe Evangelista, Laylson da Silva Borges, Leandro de Oliveira Guerra, Gleissa Mayone Silva Vogado, Paulo Henrique Amaral Araújo de Sousa, Ângela Lopes da Silva, Severino Cavalcante de Sousa Júnior

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Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function 由 Jérémy Lefort‐Besnard, Danielle S. Bassett, Jonathan Smallwood, Daniel S. Margulies, Birgit Derntl, Oliver Gruber, André Alemán, Renaud Jardri, Gaël Varoquaux, Bertrand Thirion, Simon B. Eickhoff, Danilo Bzdok

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Time-correlation-based regression of the geomagnetic field from archeological and sediment records 由 Gabrielle Hellio, Nicolas Gillet

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