Sciweavers

22 search results - page 2 / 5
» Single-index quantile regression
Sort
View
MA
2011
Springer
287views Communications» more  MA 2011»
13 years 3 months ago
On directional multiple-output quantile regression
Davy Paindaveine, Miroslav Siman
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 years 3 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, ...
JMLR
2006
135views more  JMLR 2006»
13 years 8 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
KDD
2007
ACM
138views Data Mining» more  KDD 2007»
14 years 2 months ago
High-quantile modeling for customer wallet estimation and other applications
In this paper we discuss the important practical problem of customer wallet estimation, i.e., estimation of potential spending by customers (rather than their expected spending). ...
Claudia Perlich, Saharon Rosset, Richard D. Lawren...
CSSC
2008
110views more  CSSC 2008»
13 years 8 months ago
Nonlinear Quantile Regression Estimation of Longitudinal Data
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...
Andreas Karlsson