603 search results - page 3 / 121 » Quantile Sensitivity Estimation |
CSDA
2006
13 years 5 months ago
2006
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
JMLR
2006
13 years 5 months ago
2006
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
VLDB
1997
ACM
13 years 10 months ago
1997
ACM
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
CSSC
2008
13 years 5 months ago
2008
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...