Statistical Inference for High Dimensional Problems
In this dissertation, we study minimax hypothesis testing in high-dimensional regression against sparse alternatives and minimax estimation of average treatment effect in an semiparametric regression with possibly large number of covariates.
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| Language: | en_US |
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Harvard University
2014
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| Online Access: | http://dissertations.umi.com/gsas.harvard:11516 http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274550 |