2020
DOI: 10.17706/ijapm.2020.10.4.160-166
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Bayesian Estimation Analysis of Bernoulli Measurement Error Model for Longitudinal Data

Abstract: The Bayesian method is used to study the inference of the semi-parametric measurement error model (MEs) with longitudinal data. A semi-parametric Bayesian method combined with fracture prior and Gibbs sampling combined with Metropolis-Hastings (MH) algorithm is applied and applied to the simulation observation from the posterior distribution, and the combined Bayesian statistics of unknown parameters and measurement errors are obtained. We obtained Bayesian estimates of the parameters and covariates of the mea… Show more

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“…The Bayes method has also been used to study measurement error problems in linear models. For example, see Wang & Wei (2010), Vidal & Bolfarini (2011) and Li, Qiu & Ke (2020). To our knowledge, the Bayes method has also been combined with the IV approach (e.g., Conley et al, 2008; Hahn, He & Lopes, 2018; Kleibergen & Zivot, 2003; Kozumi, 2001; Lopes & Polson, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The Bayes method has also been used to study measurement error problems in linear models. For example, see Wang & Wei (2010), Vidal & Bolfarini (2011) and Li, Qiu & Ke (2020). To our knowledge, the Bayes method has also been combined with the IV approach (e.g., Conley et al, 2008; Hahn, He & Lopes, 2018; Kleibergen & Zivot, 2003; Kozumi, 2001; Lopes & Polson, 2014).…”
Section: Introductionmentioning
confidence: 99%