5 citations · 8 across the 5 of their papers we have counts for
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Inferring the Partial Correlation Structure of Allelic Effects and Incorporating it in Genome-wide Prediction
Carlos A. Martínez, Kshitij Khare, Syed Rahman +1
In this study, we addressed the problem of genome-wide prediction accounting for partial correlation of marker effects when the partial correlation structure, or equivalently, the…
BIBI: Bayesian Inference of Breed Composition
Carlos Alberto Martínez, Kshitij Khare, Mauricio A. Elzo
The aim of this paper was to develop statistical models to estimate individual breed composition based on the previously proposed idea of regressing discrete random variables corre…
Introducing Gaussian covariance graph models in genome-wide prediction
Carlos Alberto Martínez, Kshitij Khare, Syed Rahman +1
Several statistical models used in genome-wide prediction assume independence of marker allele substitution effects, but it is known that these effects might be correlated. In stat…
Modelling correlated marker effects in genome-wide prediction via Gaussian concentration graph models
Carlos Alberto Martínez, Kshitij Khare, Syed Rahman +1
In genome-wide prediction, independence of marker allele substitution effects is typically assumed; however, since early stages of this technology it has been known that nature poi…
On the Bayesness, minimaxity, and admissibility of point estimators of allelic frequencies
Carlos Alberto Martínez, Kshitij Khare, Mauricio A. Elzo
In this paper, decision theory was used to derive Bayes and minimax decision rules to estimate allelic frequencies and to explore their admissibility. Decision rules with uniformly…