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Random regression analyses using B-splines functions to model growth from birth to adult age in Canchim cattle
(Wiley-Blackwell, 2010-12-01)
P>The objective of this work was to estimate covariance functions using random regression models on B-splines functions of animal age, for weights from birth to adult age in Canchim cattle. Data comprised 49 011 records ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(AMER DAIRY SCIENCE ASSOC-ADSA, 2009)
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(Amer Dairy Science Assoc-adsa, 2009-09-01)
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(Amer Dairy Science Assoc-adsa, 2009-09-01)
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...
Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates
(2015)
We consider a study of players employed by teams who are members of the National Basketball Association where units of observation are functional curves that are realizations of production measurements taken through the ...
Bayesian nonparametric estimation of test equating functions with covariates
(2015)
Equating is an important step in the process of collecting, analyzing, and reporting test scores in any program of assessment. Methods of equating utilize functions to transform scores on two or more versions of a test, ...
Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows
(Funpec-editora, 2011-01-01)
We analyzed 152,145 test-day records from 7317 first lactations of Holstein cows recorded from 1995 to 2003. Our objective was to model variations in test-day milk yield during the first lactation of Holstein cows by random ...
Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows
(Funpec-editora, 2011-01-01)
We analyzed 152,145 test-day records from 7317 first lactations of Holstein cows recorded from 1995 to 2003. Our objective was to model variations in test-day milk yield during the first lactation of Holstein cows by random ...
Spectral mixture kernels for Multi-Output Gaussian processes
(Universidad de Chile, 2017)
Multi-Output Gaussian Processes (MOGPs) are the multivariate extension of Gaussian processes (GPs \cite{Rasmussen:2006}), a Bayesian nonparametric method for univariate regression. MOGPs address the multi-channel regression ...
Random regression models for the estimation of genetic and environmental covariance functions for growth traits in Santa Ines sheep
(Genetics and Molecular Research, 2017)