Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...
Conditional quantile estimations are an essential ingredient in modern risk management, and many other applications, where the conditional heteroscedastic structure is usually assumed to capture the ...
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