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Empirical Statistical Power for Testing Multilocus Genotypic Effects under Unbalanced Designs Using a Gibbs Sampler
Bayesian Epistasis Genetic Association Gibbs Sampling Statistical Power
2016/5/10
Epistasis that may explain a large portion of the phenotypic variation for complex economic traits of animals has been ignored in many genetic association studies. A Baysian method was introduced to d...
Abstract: We determine the mixing time of a simple Gibbs sampler on the unit simplex, confirming a conjecture of D. Aldous. The upper bound is based on a two-step coupling, where the first step is a s...
Weak Convergence of Markov Chain Monte Carlo Methods and its Application to Regular Gibbs Sampler
Ergodicity Gibbs sampler Large sample theory Markov chain
2011/3/2
In this paper, we introduce the notion of efficiency (consistency) and examine some asymptotic properties ofMarkov chain Monte Carlo methods. We apply these results to the Gibbs sampler for independen...
Weak Convergence of Markov Chain Monte Carlo Methods and its Application to Regular Gibbs Sampler
Methodology (stat.ME) Statistics Theory (math.ST)
2010/12/17
In this paper, we introduce the notion of efficiency (consistency) and examine some asymptotic properties of Markov chain Monte Carlo methods. We apply these results to the Gibbs sampler for independe...
Delayed Response in Bivariate Set Up Using Gibbs Sampler
Delayed Response Bivariate Set Up Gibbs Sampler
2009/9/18
Delayed Response in Bivariate Set Up Using Gibbs Sampler。
基于Gibbs Sampler 的线性回归模型选择
线性回归模型 模型选择 Gibbs Sampler 准则值
2012/10/11
线性回归模型是计量经济学的基本模型，在建立线性回归模型的过程中，模型选择是非常重要的一个环节，如果可能的解释变量不是很多时，可以通过逐步回归的方法比较每个候选模型的准则值，如AIC、SIC 等进行模型选择。可是，当存在大量可能的解释变量时，我们无法一一比较每个候选模型的准则值。为了解决这个问题，文章提出一个基于Gibbs Sampler 的线性回归模型选择方法，结果表明应用该方法能够从大量候选模型...