Special tutorial or seminar on selected topics.

Selective inference means searching for interesting patterns in data, with statistical guarantees that account for the search process. It encompasses multiple testing, post-selection inference, and adaptive or interactive inference. The course will emphasize recent advances and open problems in three areas: multiple testing in structured settings, knockoff methods, and conditional post-selection inference. Prerequisites: Stat 210A or equivalent background in mathematical statistics

Class starts at the end of September. Instructor Permission required. Students should sign up for 2 units.

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