Search results for "R packageQRcm"

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Parametric estimation of non-crossing quantile functions

2021

Quantile regression (QR) has gained popularity during the last decades, and is now considered a standard method by applied statisticians and practitioners in various fields. In this work, we applied QR to investigate climate change by analysing historical temperatures in the Arctic Circle. This approach proved very flexible and allowed to investigate the tails of the distribution, that correspond to extreme events. The presence of quantile crossing, however, prevented using the fitted model for prediction and extrapolation. In search of a possible solution, we first considered a different version of QR, in which the QR coefficients were described by parametric functions. This alleviated th…

Statistics and ProbabilityComputer scienceConstrained optimizationquantile crossingR packageQRcmPopularityconstrained optimizationQuantile regression coefficients modelling (QRCM)Quantile regressionWork (electrical)constrained optimization; parametric quantile functions; quantile crossing; Quantile regression coefficients modelling (QRCM); R packageQRcmParametric estimationEconometricsparametric quantile functionsStatistics Probability and UncertaintyQuantile
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