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• W2896493163 abstract "A Bayesian single-index quantile estimation approach for ordinal data is proposed. A simple and efficient MCMC algorithm was developed for posterior computation using a normal-exponential mixture representation of the skewed Laplace distribution. The proposed method is then demonstrated via simulated studies and two real data sets. Results show that the proposed method performs well under the simulated studies and real data analysis." @default.
• W2896493163 created "2018-10-26" @default.
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• W2896493163 date "2018-10-10" @default.
• W2896493163 modified "2023-09-25" @default.
• W2896493163 title "Bayesian single-index quantile regression for ordinal data" @default.
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• W2896493163 doi "https://doi.org/10.1080/03610918.2018.1494283" @default.
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