Bayesian inference for ordinal data
Albert & Chib proposed a Bayesian ordinal probit regression model using the Gibbs sampler to model ordinal data. Their method defines a relationship between latent variables and ordinal outcomes using cutpoint parameters. However, the convergence of this Gibbs sampler is slow when the sample siz...
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| Format: | Others |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/1911/19006 |