نتایج جستجو برای: bayes

تعداد نتایج: 18649  

Journal: :International Statistical Review 1999

Journal: :Advances in Mathematics 1986

Journal: :Machine Learning 2018

In this study, the application of Bayes networks and fault tree analysis in reliability estimation have been investigated. Fault tree analysis is one of the most widely used methods for estimating reliability. In recent years, a method called "Bayes Network" has been used, which is a dynamic method, and information about the probable failure of the system components will be updated according to...

Journal: :تولیدات دامی 0
یحیی محمدی دانشجوی دکتری، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران محمد مهدی شریعتی استادیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران سعید زره داران استاد، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه فردوسی مشهد، ایران محمد رزم کبیر استادیار، گروه علوم دامی، دانشکدۀ کشاورزی، دانشگاه کردستان، ایران محمدباقر صیادنژاد مرکز اصلاح نژآد و بهبود تولیدات دامی کشور محمدباقر زندی مرکز اصلاح نژآد و بهبود تولیدات دامی کشور

genomic selection (gs) is a tool for prediction of breeding values for quantitative traits. for a successful application of gs, accuracy of predicted genomic breeding value (gebv) is a key issue to consider. here we investigated the accuracy of gebv in 345 genotyped iranian holstein cattle. the study was performed on milk, fat, protein yield and somatic cell count. four methods g-blup, bayes b,...

     The purpose of this study was to compare the accuracy of genomic evaluation for Bayes A, Bayes B, Bayes C and Bayes L multi-step methods and SSBR-C and SSBR-A single-step methods in the different values of π for predicting genomic breeding values of the genotyped and non-genotyped animals. A genome with 40000 SNPs on the 20 chromosom was simulated with the same distance (100cM). The π valu...

2002
Michael Goldstein Simon C. Shaw

Goldstein and Shaw (2002) developed Bayes linear kinematics describing how a Bayes linear analysis should be carried out when we only receive partial information which changes our beliefs about a vector of random quantities in some generalised way. In this paper we explore principles of local computation for Bayes linear kinematic updates. This theory is illustrated by the Bayes linear Bayes mo...

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