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Quantile Regression - Theory, Implementations, and Applications
Author

Anton Antonov
Organization: Sezmi Corporation
Conference

Wolfram Technology Conference 2014
Conference location

Champaign, Illinois, USA
Description

In this talk we are going to discuss the theory, implementation, and application of quantile regression. We can say that least squares linear regression corresponds to finding the mean of a single distribution. Similarly, quantile regression corresponds to finding quantiles of a single distribution. Quantile regression is more robust than linear regression and using quantile regression curves we can obtain more complete pictures of the distributions we analyze.
Subject

*Wolfram Technology
URL

http://www.wolfram.com/events/technology-conference/2014
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WTC14 Quantile regression_AntonAntonov.nb (5.5 MB) - Mathematica Notebook