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» Robust diagnostics for the heteroscedastic regression model
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NIPS
2007
9 years 9 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
WSC
2004
9 years 9 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone
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