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.
Identifer | oai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/12274550 |
Date | 06 June 2014 |
Creators | Mukherjee, Rajarshi |
Contributors | Lin, Xihong |
Publisher | Harvard University |
Source Sets | Harvard University |
Language | en_US |
Detected Language | English |
Type | Thesis or Dissertation |
Rights | open |
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