Results 1 to 10 of about 2,148,018 (281)
Covariance regression with random forests
Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to various fields including neuroscience, epidemiology and biomedicine.
Cansu Alakus +2 more
doaj +4 more sources
Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population [PDF]
The random regression test-day model has become the most commonly adopted model for routine genetic evaluations in dairy populations, which allows accurately accounting for genetic and environmental effects over lactation. The objective of this study was
Jianbin Li +9 more
doaj +2 more sources
Random projections for Bayesian regression [PDF]
This article deals with random projections applied as a data reduction technique for Bayesian regression analysis. We show sufficient conditions under which the entire $d$-dimensional distribution is approximately preserved under random projections by ...
Geppert, Leo N. +4 more
core +5 more sources
Test-day or 305-day milk yield for genetic evaluation of Gir cattle [PDF]
: The objective of this work was to compare genetic evaluations of milk yield in the Gir breed, in terms of breeding values and their accuracy, using a random regression model applied to test-day records or the traditional model (TM) applied to estimates
Rodrigo Junqueira Pereira +5 more
doaj +1 more source
Inclusion of bioclimatic variables in genetic evaluations of dairy cattle [PDF]
Objective Considering the importance of dairy farming and the negative effects of heat stress, more tolerant genotypes need to be identified. The objective of this study was to investigate the effect of heat stress via temperature-humidity index (THI ...
Renata Negri +6 more
doaj +1 more source
Modeling genetic components of hatch of fertile in broiler breeders
Reproductive efficiency such as fertility and hatch of fertile (HoF) are of economic importance and concern to breeding companies becaue of their effects on chick output.
Bayode O. Makanjuola +2 more
doaj +1 more source
A random regression model for daily feed intake and a conventional multiple trait animal model for the four traits average daily gain on test (ADG), feed conversion ratio (FCR), carcass lean content and meat quality index were combined to analyse data ...
Künzi Niklaus +3 more
doaj +1 more source
Convergence rates of Kernel Conjugate Gradient for random design regression [PDF]
We prove statistical rates of convergence for kernel-based least squares regression from i.i.d. data using a conjugate gradient algorithm, where regularization against overfitting is obtained by early stopping.
Blanchard, Gilles, Krämer, Nicole
core +2 more sources
EM-REML estimation of covariance parameters in Gaussian mixed models for longitudinal data analysis
This paper presents procedures for implementing the EM algorithm to compute REML estimates of variance covariance components in Gaussian mixed models for longitudinal data analysis.
Robert-Granié Christèle +2 more
doaj +1 more source
Genetic growth potential characterization in the Japanese quail: a meta-analysis
The description of the growth of the Japanese quails is necessary to characterize the genetic potential of these birds raised in different countries. Thus, the aim of this study was to describe the genetic potential of Japanese quails by conducting a ...
L.C. Carvalho +6 more
doaj +1 more source

