EMPIRICAL PROCESSES AND SEMIPARAMETRIC INFERENCE

STAT 834

Course Description

Empirical process methods in statistics; semiparametric models; stochastic convergence in metric spaces; Glivenko-Cantelli and Donsker theorems; entropy calculations; bootstrapped empirical processes; functional delta method; Z-estimators; M-estimators; rates of convergence; semiparametric efficiency; semiparametric estimating equations; nonparametric maximum likelihood.

Prerequisties

STAT 610 or MATH/STAT 710

Satisfies

This course does not satisfy any prerequisites.

Credits

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Offered

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Grade Point Average

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Completion Rate

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A Rate

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Class Size

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-100% from Historical

Instructors (2025 Fall)

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