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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Spatial confounding in Bayesian species distribution modeling
estimation bias Gaussian process spatial confounding spatial random effect species distribution model
2023/11/20
Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for species geographical distribution. However, unobserved environm...
The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two-trait binary threshold model
binary traits genetic effects Gibbs sampling
2015/6/5
The paper presents an algorithm for the estimation and prediction of parameters in a two-trait binary threshold model. The model includes fixed effects and the following random effects: genetic direct...
Modelling of tree diameter growth using growth functions parameterised by least squares and Bayesian methods
growth function nonlinear least squares Bayes diameter estimation
2015/4/14
The purpose of this paper is to present a new growth and yield function (denoted as KM-function), which was empirically derived from the cumulative density function of the Kumaraswamy probability dist...
利用Bayesian-MCMC方法对不同家系结构的畜禽远交群体的二级离散性状进行QTL连锁检测，在分析中，基于IBD方差组分的随机模型的定位策略，同时利用MCMC的3种不同抽样技术（Gibbs抽样、Metropolis抽样和Reversible jump MCMC抽样）产生相应QTL参数的后验样本，在此基础上进行目标参数的Bayesian统计推断。结果表明： Bayesian-MCMC方法能够对Q...
F2:3设计全基因组标记的Bayesian分析
贝叶斯压缩估计 数量性状基因座 多标记 F2:3设计
2008/2/28
数量性状的遗传率低时，常采用F2:3设计进行遗传分析，但往往忽略异质家系内QTL的混合分布特性。同时，用多QTL模型检测QTL会提高QTL检测的功效。因此，本文在利用F2:3设计异质F2:3家系内QTL混合分布特性基础上，提出F2:3设计全基因组多标记联合分析新方法。该方法充分利用了异质F2:3家系内的QTL混合分布，并采用多QTL遗传模型。Monte Carlo模拟研究表明，新方法能获得精确的Q...
利用Bayesian-MCMC方法对不同家系结构的畜禽远交群体的二级离散性状进行QTL连锁检测，在分析中，基于IBD方差组分的随机模型的定位策略，同时利用MCMC的3种不同抽样技术（Gibbs抽样、Metropolis抽样和Reversible jump MCMC抽样）产生相应QTL参数的后验样本，在此基础上进行目标参数的Bayesian统计推断。结果表明： Bayesian-MCMC方法能够对Q...
Investigation of Biases for Variance Components on Multiple Traits with Varying Number of Categories in Threshold Models Using Bayesian Inferences
Categorical Traits Bayesian Variance Components Biases
2016/4/11
Gibbs sampling algorithms were implemented to the multi-trait threshold animal models with any combinations of multiple binary, ordered categorical, and linear traits and investigate the amount of bia...
利用Bayesian-MCMC方法对不同家系结构的畜禽远交群体的二级离散性状进行QTL连锁检测，在分析中，基于IBD方差组分的随机模型的定位策略，同时利用MCMC的3种不同抽样技术（Gibbs抽样、Metropolis抽样和Reversible jump MCMC抽样）产生相应QTL参数的后验样本，在此基础上进行目标参数的Bayesian统计推断。结果表明： Bayesian-MCMC方法能够对Q...