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CSDA
2006
84views more  CSDA 2006»
14 years 9 months ago
Robust weighted LAD regression
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
Avi Giloni, Jeffrey S. Simonoff, Bhaskar Sengupta
CORR
2007
Springer
140views Education» more  CORR 2007»
14 years 9 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
14 years 9 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
ICDE
2006
IEEE
168views Database» more  ICDE 2006»
15 years 11 months ago
Robust Cardinality and Cost Estimation for Skyline Operator
Incorporating the skyline operator inside the relational engine requires solving the cardinality estimation and the cost estimation problem, hitherto unaddressed. We propose robus...
Surajit Chaudhuri, Nilesh N. Dalvi, Raghav Kaushik
ICDE
2004
IEEE
85views Database» more  ICDE 2004»
15 years 11 months ago
Selectivity Estimation for String Predicates: Overcoming the Underestimation Problem
Queries with (equality or LIKE) selection predicates over string attributes are widely used in relational databases. However, state-of-the-art techniques for estimating selectivit...
Surajit Chaudhuri, Venkatesh Ganti, Luis Gravano