Quantile regression offers a versatile framework for characterising the full conditional distribution of a response variable by modelling specified quantiles rather than the mean alone. This approach ...

Quantile regression models the relationship between a specified conditional quantile (or percentile) of a dependent (response) variable and one or more independent (explanatory) variables (Cade and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

A study in Shandong Province, China, used quantile regression forests to map soil salinity across five depth intervals down ...

Quantiles and expectiles analyze the regression model not only at the mean but also in the tails. Financial losses, medical insurance, auction bids, insurance claims and toxicity limits are all areas ...