STAT 5310

Statistical Design and Inference for Data Science

Lec 01 and Sem S01 selected

This course will provide students with an understanding of statistical designs and inference with a focus on computational statistics. The course will expose students to useful classical statistics including various experimental designs and sampling, the likelihood, principles of estimation and hypothesis testing. Students will also learn about more modern variants including areas of computational statistics such as Bayesian statistics, resampling, and Gibbs sampling, simulation, and methods for missing data.

Sections

Lecture
Seminar

Syllabus

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