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» Quantile Sensitivity Estimation
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CCCG
1998
13 years 9 months ago
Quantile approximation for robust statistical estimation
Given a set P of n points in Rd, a fundamental problem in computational geometry is concerned with finding the smallest shape of some type that encloses all the points of P. Well-...
David M. Mount, Nathan S. Netanyahu, Christine D. ...

Publication
257views
15 years 6 months ago
The P-Square Algorithm for Dynamic Calculation of Percentiles and Histograms without Storing Observations
A heuristic algorithm is proposed for dynamic calculation of the median and other quantiles. The estimates are produced dynamically as the observations are generated. The observati...
R. Jain, I. Chlamtac
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 11 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
CSDA
2007
109views more  CSDA 2007»
13 years 7 months ago
Improving the computation of censored quantile regressions
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...
Bernd Fitzenberger, Peter Winker
ICALP
2007
Springer
14 years 2 months ago
Lower Bounds for Quantile Estimation in Random-Order and Multi-pass Streaming
We present lower bounds on the space required to estimate the quantiles of a stream of numerical values. Quantile estimation is perhaps the most studied problem in the data stream ...
Sudipto Guha, Andrew McGregor