Probabilistic Method for Modeling the Conditional Extreme Quantiles and Censored

This paper presents a contribution to stochastic risk modeling in climate change. We show that it would be important to control the number of observations in a given region, while the oscillation of the log-quantile function is small. More specifically, we have also shown that the extreme quantile is more stable the further away we are from the border. We will now show that the random variable is observed if it belongs to the interval of the non-negative and absolutely continuous variable