نتایج جستجو برای: bayesian methods

تعداد نتایج: 1936824  

Journal: :تولیدات دامی 0
رستم عبداللهی آرپناهی دانشجوی دکتری گروه علوم دامی، دانشکدۀ علوم زراعی و دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج ـ ایران عباس پاکدل دانشیار گروه علوم دامی، دانشکدۀ علوم زراعی و دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج ـ ایران اردشیر نجاتی جوارمی دانشیار گروه علوم دامی، دانشکدۀ علوم زراعی و دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج ـ ایران محمد مرادی شهربابک استاد گروه علوم دامی، دانشکدۀ علوم زراعی و دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج ـ ایران

the objective of this study was to compare six statistical methods for prediction of genomic breedingvalues for traits with different genetic architecture in term of gene effects distributions and number ofquantitative traits loci (qtls). a genome consisted of 500 bi-allelic single nucleotide polymorphism(snp) markers distributed over a chromosomes with 100 cm length was simulated. three differ...

ژورنال: پژوهش های ریاضی 2021

Introduction      This paper is concerned with using the Maximum Likelihood, Bayes and a new method, E-Bayesian, estimations for computing estimates for the unknown parameter, reliability and hazard rate functions of the Generalized Inverted Exponential distribution. The estimates are derived based on a conjugate prior for the unknown parameter. E-Bayesian estimations are obtained based on th...

Journal: :CoRR 2017
Peter A. Thwaites Jim Q. Smith

If the influence diagram (ID) depicting a Bayesian game is common knowledge to its players then additional assumptions may allow the players to make use of its embodied irrelevance statements. They can then use these to discover a simpler game which still embodies both their optimal decision policies. However the impact of this result has been rather limited because many common Bayesian games d...

Journal: :Journal of the Korean Statistical Society 2017

Journal: :Theory of Computing Systems 2017

Journal: :Agricultural and Resource Economics Review 2017

Journal: :Int. J. Computational Intelligence Systems 2014
Aida Jarraya Philippe Leray Afif Masmoudi

The Bayesian estimation of the conditional Gaussian parameter needs to define several a priori parameters. The proposed approach is free from this definition of priors. We use the Implicit estimation method for learning from observations without a prior knowledge. We illustrate the interest of such an estimation method by giving first the Bayesian Expectation A Posteriori estimator for conditio...

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