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Theil–Sen estimator

Known as: Robust simple linear regression, Slope selection, Theil 
In non-parametric statistics, there is a method for robustly fitting a line to a set of points (simple linear regression) that chooses the median… 
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Related topics

Related topics

15 relations
AlgorithmicaCensored regression modelComputer scienceInformation Processing Letters

Broader (1)

Computational geometry

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
The scalar auxiliary variable (SAV) approach for gradient flows
Highly Cited
2014
Highly Cited
2014
Stability and convergence of second-order schemes for the nonlinear epitaxial growth model without slope selection
. We present one nonlinear and one linearized numerical schemes for the nonlinear epitaxial growth model without slope selection… 
Highly Cited
2013
Highly Cited
2013
Novel ecosystems created by coal mines in central Queensland’s Bowen Basin
IntroductionOpen-cut coal mining began in central Queensland’s Bowen Basin approximately 50 years ago. Over this period of time… 
Review
2013
Review
2013
Lunar sinuous rilles: Distribution, characteristics, and implications for their origin
2011
2011
A Linear Energy Stable Scheme for a Thin Film Model Without Slope Selection
We present a linear numerical scheme for a model of epitaxial thin film growth without slope selection. The PDE, which is a… 
Review
2007
Review
2007
Why are you telling me this? An examination into negative consumer reviews on the Web
Although word-of-mouth (WOM) is recognized as a powerful force in persuasion,we know little about the new communication… 
2005
2005
Unbiasedness of the Theil–Sen estimator
We consider the simple linear regression model. The Theil–Sen estimator is a point estimator of the slope parameter in the model… 
Highly Cited
2003
Highly Cited
2003
Center for Scientific Computation And Mathematical Modeling
Two nonlinear diffusion equations for thin film epitaxy, with or without slope selection , are studied in this work. The… 
Highly Cited
1993
Highly Cited
1993
An expander-based approach to geometric optimization
We present a new approach to problems in geometric optimization that are traditionally solved using the parametric searching… 
Highly Cited
1993
Highly Cited
1993
Optimal Slope Selection Via Expanders
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