Modern Statistics
SML 505/AST 505
1244
1244
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The course provides an introduction to modern statistics and data analysis. It addresses the question, "What should I do if these are my data and this is what I want to know"? The course adopts a model based, largely Bayesian, approach. It introduces the computational means and software packages to explore data and infer underlying parameters from them. An emphasis will be put on streamlining model specification and evaluation by leveraging probabilistic programming frameworks. The topics are exemplified by real-world applications drawn from across the sciences.
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Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 17
- Capacity: 40
- Class Number: 41047
- Schedule: WF 11:00 AM-12:20 PM - Lewis Library 138
Section P99
- Type: Precept
- Section: P99
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 43031