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MA
2010
Springer
131views Communications» more  MA 2010»
13 years 10 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 ...
INFOCOM
2010
IEEE
13 years 10 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu
CSDA
2010
98views more  CSDA 2010»
13 years 12 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
KDD
2007
ACM
138views Data Mining» more  KDD 2007»
14 years 6 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...
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 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, ...