Information Theory and Statistics
Course Description
Information theoretic techniques in probability and statistics. Fano, Assouad,and Le Cam methods for optimality guarantees in estimation. Large deviationsand concentration inequalities (Sanov's theorem, hypothesis testing, theentropy method, concentration of measure). Approximation of (Bayes) optimalprocedures, surrogate risks, f-divergences. Penalized estimators and minimumdescription length. Online game playing, gambling, no-regret learning. This course is offered every other year.
STATS 311
Units: 3
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
