Bayesian quantile regression extends the classical quantile regression framework by embedding it within a probabilistic paradigm, allowing direct inference on conditional quantiles through ...
Distributional regression represents a paradigm shift from conventional mean-based modelling to a comprehensive characterisation of the entire conditional distribution of a response variable. By ...
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