Titlebook: Quantile Regression for Cross-Sectional and Time Series Data; Applications in Ener Jorge M. Uribe,Montserrat Guillen Book 2020 The Author(s

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Why and When Should Quantile Regression Be Used?,terest is to find a causal link beyond the mean-to-mean effects. Quantile regression is a procedure to model the cut points of the cumulated conditional probability distribution of a response variable as a function of some covariates.

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Novel Approaches in Quantile Regression,nto the quantile regression framework. The second topics are an extension for time series quantile regressions of the traditional time series tool, the cross-correlogram. The third possible extension presents a random forest as an extension of traditional quantile regression.

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