Wafaa El Hannoun – Mathematics and Decision

$\begin{quote} \begin{center} \textbf{Vine copula quantile regression for a multidimensional water expenditures analysis} \end{center} \medskip Water expenditures are one of the main indicators of water consumption which makes them an ideal tool for addressing water policies. Many studies have approached water expenditures analysis through several factors, including social, space and climate factors mainly by modelling tools which can be considered as black boxes. In this work, we try to analyze water expenditures using D-vine copula quantile regression. This method has proven its efficiency in predicting quantiles in different areas, including hydrology. An illustration of the proposed methodology is presented for Morocco and results show different relationships between water expenditures and social factors (geographical area, sex and educational level of the householder) and also the quantiles variability at the regional scale. \end{quote}$