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- 2Regularization
- 1Degrees of freedom
- 1Factorial designs
- 1Functional Data Analysis
- 1Group lasso
- 1Hierarchy
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Fall 2016
We study penalized fitting strategies aimed at sparse model selection of models satisfying certain hierarchical restrictions, in linear models arising from factorial experiments. After discussing various merits of existing approaches, we propose a modification and generalization of the approach...
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Spring 2017
In this thesis, we study penalized methods in time series and functional data analysis. In the first part, we introduce regularized periodograms for spectral analysis of unevenly spaced time series. The regularized periodograms, called regularized least squares periodogram and regularized...
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