Bayesian Model Averaging R包说明书
BMA: Bayesian Model AveragingBayesian model averaging (MAclusteringexpectation-maximization (EMnaive BayesLearning Graphical Modelsdoi:10.1007/978-0-387-30164-8_64Mark F. J. SteelSpringer USencyclopedia of machine learning
BAYESIANMODELAVERAGINGINRSHAHRAMM.AMINIANDCHRISTOPHERF.PARMETERAbstract.Bayesianmodelaveraginghasincreasinglywitnessedapp..
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aBayesian model averaging for linear regression models. Journal of the American Statistical Association 92, 179-191. 贝叶斯式样平均为线性回归的模型。 美国统计协会92, 179-191学报。[translate]
Model BayesianAveraging方法及其应用 潘海涛 (西安:西安财经学院统计学院,710061) 摘要 一般的回归分析建模因为未考虑模型自身的不确定性而使得分析的结果存在不精确和有 争议的问题,贝叶斯模型平均法(BayesianMovingAveraging)由于运用Bayes统计分析的 思想并考虑到模型自身的不确定性,从而提高了模型估计的精度。本文通过介绍...
Bayesian model averaging Bayesian model averaging (BMA) Yulia Marchenko Vice President, Statistics and Data Science StataCorp LLC 2023 UK Stata Conference Yulia Marchenko (StataCorp) 1 / 42 Outline What is Bayesian model averaging (BMA)? Why BMA? Brief review of Bayesian analysis BMA for linear ...
BayesianModelAveraging方法及其应用 潘海涛 (西安:西安财经学院统计学院,710061) 摘要 一般的回归分析建模因为未考虑模型自身的不..
This study introduces a Bayesian model averaging (BMA) method that incorporates multiple groundwater models and multiple hydraulic conductivity estimation methods to predict groundwater heads and evaluate prediction uncertainty. BMA is able to distinguish prediction uncertainty arising from individual models, ...
Bayesian model averaging (BMA) is a statistical method to rigorously take model uncertainty into account. This chapter gives a coherent overview on the statistical foundations and methods of BMA and its usefulness for forecasting, but also for the identification of robust determinants. The focus is ...