Bayesian Analysis
SML 320
1244
1244
Info tab content
This course provides an introduction to Bayesian analysis---a powerful statistical framework for making inferences and modeling uncertainty in a wide range of applications. Students will explore the fundamental principles of Bayesian statistics, probability theory, Bayesian inference, and practical applications of Bayesian modeling. The course will cover both the theory and hands-on implementation using data science software and the R programming language.
Instructors tab content
Sections tab content
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 6
- Capacity: 15
- Class Number: 42693
- Schedule: TTh 11:00 AM-12:20 PM - Bendheim House 103
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 6
- Capacity: 15
- Class Number: 42694
- Schedule: W 11:00 AM-12:20 PM - Bendheim House 103