|
|
 |
| |
|
|
|
A Convenient Ready-to-Use Algorithm for a Conditional Quantile Estimator |
|
|
|
PP: 841-850 |
|
|
|
Author(s) |
|
|
|
Piotr Kulczycki,
Małgorzata Charytanowicz,
Antoni Leon Dawidowicz,
|
|
|
|
Abstract |
|
|
| This paper contains a complete procedure for calculating the value of a conditional quantile estimator. The concept is based
on the nonparametric kernel estimator method, which frees the algorithm from the random variables’ distributions. The procedure was
worked out in a ready-to-use form – specific formulas for functions and the parameter used were given. The practical implementation
of this method is very simple, and its computational complexity is linear with respect to random sample size as well as the dimension
of conditioning variable. Thanks to a clear, near intuitive interpretation it can easily be modified or generalized depending on the
individual needs of atypical applications. In particular, conditioning variables can be taken into account, not only continuous (real), but
also binary, discrete and categorized, or any of their combinations. |
|
|
|
|
|
|
|
