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Model Determination Using Predictive Distributions with Implementation viaSampling-Based Methods

机译:基于抽样的方法实现预测分布的模型确定

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摘要

Model determination is divided into the issues of model adequacy and modelselection. Predictive distributions are used to address both issues. This seems natural since, typically, prediction is a primary purpose for the chosen model. A cross-validation viewpoint is argued for. In particular, for a given model, it is proposed to validate conditional predictive distributions arising from single point deletion against observed responses. Sampling based methods are used to carry out required calculations. An example investigates the adequacy of and rather subtle choice between two sigmoidal growth models of the same dimension.... Model adequacy, Model choice, Predictive distributions, Cross-validation, Sampling based methods, Sigmoidal growth model, Logistic growth curve model, Gompertz model.

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