Model selection and estimation in high dimensional settings
Several statistical problems can be described as estimation problem, where the goal is to learn a set of parameters, from some data, by maximizing a criterion. These type of problems are typically encountered in a supervised learning setting, where we want to relate an output (or many outputs) to mu...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1853/53551 |