In this article, we introduce three Bayesian variable selection methods for the quantile autoregressive model with explanatory variables. The Gibbs sampling algorithms are developed for each method by
• Exploring the factors affecting the bike-sharing demand on an urban area using multiscale geographically weighted regression (MGWR) • Establishing the bike sharing demand prediction model incorporat
