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» Quantile Sensitivity Estimation
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WSC
2007
15 years 16 days 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
72
Voted
NETCOOP
2009
Springer
15 years 2 months ago
Quantile Sensitivity Estimation
Bernd Heidergott, Warren Volk-Makarewicz
CSDA
2010
98views more  CSDA 2010»
14 years 10 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
86
Voted
NIPS
2007
14 years 11 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
95
Voted
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 4 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, ...