Sciweavers

603 search results - page 1 / 121
» Quantile Sensitivity Estimation
Sort
View
WSC
2007
15 years 1 months ago
Kernel estimation for quantile sensitivities
Quantiles, also known as value-at-risk in financial applications, are important measures of random performance. Quantile sensitivities provide information on how changes in the i...
Guangwu Liu, L. Jeff Hong
NETCOOP
2009
Springer
15 years 4 months ago
Quantile Sensitivity Estimation
Bernd Heidergott, Warren Volk-Makarewicz
89
Voted
CSDA
2010
98views more  CSDA 2010»
14 years 11 months ago
Design-based estimation for geometric quantiles with application to outlier detection
Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses th...
Mohamed Chaouch, Camelia Goga
96
Voted
NIPS
2007
15 years 1 months ago
How SVMs can estimate quantiles and the median
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...
Andreas Christmann, Ingo Steinwart
102
Voted
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 6 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, ...