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2020
Recall from Sect. 13.5 that E-BLUP, the conventional procedure for predicting a predictable linear function τ = cTβ + u under the prediction-extended general mixed linear model $$\displaystyle \left \{\left (\begin {array}{c}\mathbf {y} \\ u\end {array}\right ),\left (\begin {array}{c}\mathbf { X}\boldsymbol {\beta } \\ 0 \end {array}\right ),\left
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Recall from Sect. 13.5 that E-BLUP, the conventional procedure for predicting a predictable linear function τ = cTβ + u under the prediction-extended general mixed linear model $$\displaystyle \left \{\left (\begin {array}{c}\mathbf {y} \\ u\end {array}\right ),\left (\begin {array}{c}\mathbf { X}\boldsymbol {\beta } \\ 0 \end {array}\right ),\left
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Restricted BLUP for Mixed Linear Models
Biometrical Journal, 1991AbstractA new estimation procedure for mixed regression models is introduced. It is a development of Henderson's best linear unbiased prediction procedure which uses the joint distribution of the observed dependent random variables and the unknown realisations of the random components of the model.
C. A. McGilchrist, C. W. Aisbett
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1979
Wells gave The Bulpington of Blup the sub-title ‘Adventures, Poses, Stresses, Conflicts, and Disaster in a Contemporary Brain’. This phrase aptly describes what the novel is: a sustained and remarkably consistent study of an acutely divided individuality. Robert Bloom, in his perceptive study Anatomies of Egotism,49 has pointed out that the novel is in
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Wells gave The Bulpington of Blup the sub-title ‘Adventures, Poses, Stresses, Conflicts, and Disaster in a Contemporary Brain’. This phrase aptly describes what the novel is: a sustained and remarkably consistent study of an acutely divided individuality. Robert Bloom, in his perceptive study Anatomies of Egotism,49 has pointed out that the novel is in
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𝒟-BLUP: a differentiable genomic BLUP model with learnable variance and marker weights
1. Abstract Genomic best linear unbiased prediction (GBLUP) is widely used for genomic selection in livestock and crop breeding. There is growing interest in connecting machine learning with genomic breeding value prediction.Joseph Guhlin, Peter Dearden
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A derivation of BLUP—Best linear unbiased predictor
Statistics & Probability Letters, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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