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» Nonparametric Quantile Estimation
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MA
2010
Springer
131views Communications» more  MA 2010»
13 years 9 months ago
Functional nonparametric estimation of conditional extreme quantiles
Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...
Laurent Gardes, Stéphane Girard, Alexandre ...
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 years 5 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
CSDA
2006
117views more  CSDA 2006»
13 years 11 months ago
GACV for quantile smoothing splines
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
Ming Yuan
JMLR
2006
135views more  JMLR 2006»
13 years 10 months ago
Quantile Regression Forests
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...
Nicolai Meinshausen