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- 2Robust statistics
- 1Adaptive estimators
- 1Convex optimization
- 1Matrix rank reduction
- 1Non-Gaussian noise
- 1Regression model
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Fall 2015
This thesis introduces a new class of robust estimators for regression mod- els. Specifically, a class of weighted least square estimators under linear re- gression models is introduced in Chapter 2, with a continuous adaptive weight function computed using the Kolmogorov-Smirnov statistic....
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Fall 2013
An important step of seismic data processing entails signal de-noising. Traditional de-noising methods assume Gaussian noise model and their performance degrades in the presence of erratic (non-Gaussian) noise. This thesis examines the problem of designing reduced-rank noise attenuation...
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