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This course offers an introduction to the finite sample analysis of high- dimensional statistical methods.
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English
English [CC]
FREE
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Description
The goal is to present various proof techniques for state-of-the-art methods in regression, matrix estimation and principal component analysis (PCA) as well as optimality guarantees. The course ends with research questions that are currently open.
You can read more about Prof. Rigollet’s work and courses on his website
Course content
- Introduction Unlimited
- Sub-Gaussian Random Variables Unlimited
- Linear Regression Model Unlimited
- Misspecified Linear Models Unlimited
- Matrix Estimation Unlimited
- Minimax Lower Bounds Unlimited
Instructor
Massachusetts Institute of Technology
5
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1916
1520
