Báo cáo sinh học: "Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance | Genetics Selection Evolution BioMed Central Research Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance John M Hickey 1 2 3 Roel F Veerkamp1 Mario PL Calus1 Han A Mulder1 and Robin Thompson4 5 6 Address 1Animal Breeding and Genomics Centre Animal Sciences Group PO Box 65 8200 AB Lelystad The Netherlands 2Grange Beef Research Centre Teagasc Dunsany Co. Meath Ireland 3School of Agriculture Food and Veterinary Medicine College of Life Sciences University College Dublin Belfield Dublin 4 Ireland 4School of Mathematical Sciences Queen Mary University of London Mile End Road London E1 4NS UK 5Centre for Mathematical and Computational Biology Rothamsted Research Harpenden AL5 2JQ UK and department of Biomathematics and Bioinformatics Rothamsted Research Harpenden AL5 2JQ UK Email John M Hickey - Roel F Veerkamp - Mario PL Calus - Han A Mulder - Robin Thompson - Corresponding author Open Access Published 9 February 2009 Received 17 December 2008 Genetics Selection Evolution 2009 41 23 doi l297-9686-4l -23 Accepted 9 February 2009 This article is available from http content 4l l 23 2009 Hickey et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Calculation of the exact prediction error variance covariance matrix is often computationally too demanding which limits its application in REML algorithms the calculation of accuracies of estimated breeding values and the control of variance of response to selection. Alternatively Monte Carlo sampling can be used to calculate approximations of the prediction .

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