ST793 - Advanced Statistical Inference
- Prerequisites: ST 702
- Term & Frequency: Every Spring
- Student Audience: PhD students in Statistics and related fields
- Credit: 3 credits
- Recent Texts: Essential Statistical Inference: Theory and Methods, 2013, Boos and Stefanski
- Recent Instructors: Dennis Boos, Len Stefanski
- Background and Goals: This course is for students who have had a first year graduate level mathematical statistics course. It prepares them to handle statistical inference in a wide range of problems at an advanced level.
- Content: The course covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic analysis; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout.
- Alternatives: None
- Subsequent Courses: Advanced statistics courses such as ST 762, ST 782-4 and special topics ST 790 courses such as Asymptotic Statistics, Advanced Bayesian Methods, and Modern Nonparametric Methods.
S1 2017 Sections:
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