Bayesian single-index quantile regression for ordinal data
Bayesian single-index quantile regression for ordinal data is a scholarly work, published in 2018 in ''Communications in Statistics: Simulation and Computation''. The main subjects of the publication include political representation, regularization, Quantile regression, mixture model, artificial intelligence, computer science, multicollinearity, statistics, computation, ordinal variable, ordinal regression, quantile, mathematics, pattern recognition, algorithm, and Bayesian probability. Results show that the proposed method performs well under the simulated studies and real data analysis.