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Semiparametric Bayesian Estimation under Structural Measurement Error Model
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 Title & Authors
Semiparametric Bayesian Estimation under Structural Measurement Error Model
Hwang, Jin-Seub; Kim, Dal-Ho;
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This paper considers a Bayesian approach to modeling a flexible regression function under structural measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under structural measurement error model without a semiparametric component.
Gibbs sampling;hierarchical Bayes;Metropolis-Hastings;penalized spline;semiparametric;structural measurement error;
 Cited by
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