MOR
2008
14 years 2 months ago
2008
A framework is set up in which linear regression, as a way of approximating a random variable by other random variables, can be carried out in a variety of ways, which moreover ca...
JMLR
2006
14 years 2 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...
CSDA
2007
14 years 2 months ago
2007
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
CSDA
2008
14 years 2 months ago
2008
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
NIPS
2007
14 years 3 months ago
2007
We investigate quantile regression based on the pinball loss and the ǫ-insensitive loss. For the pinball loss a condition on the data-generating distribution P is given that ensu...
ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
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 ...