References
----------

.. [Duchemin2025] Duchemin Q. and Obozinski G. (2025). 
   *Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts*.

.. [Bhat2015] Bhat, H.S. and al (2015). 
   *Towards scalable quantile regression trees.*

.. [Romano2019] Romano, Y., Patterson, E., and Candes, E. (2019). 
   *Conformalized Quantile Regression.*

.. [Angelopoulos2021] Angelopoulos, A. and Bates, S. (2021). 
   *Distribution-free uncertainty quantification for deep learning.*

.. [Gneiting2007] Gneiting, T. and Raftery, A.E. (2007).
   * Evaluating epidemic forecasts in an interval format*