Brief Course Description
1. Course Title:
Bayesian Statistics
2. Language of Instruction:
Tiếng Việt
3. Course Code:
BAY608020
4. Credits:
2
5. Course Objectives:
The course Bayesian Statistics aims to equip students with knowledge of Bayesian statistical methods, enabling them to use prior information to process data and make statistical inferences. This course provides a new statistical approach that allows the use of known data and information to process and draw conclusions about new information. Specifically, students will learn how to use prior information in the study of random variables, estimate proportions, estimate means, build linear regression models, and solve other statistical problems.
6. Brief Description of Course Content:
The course introduces Bayesian statistical method to use a prior information in data processing to make statistical inferences. It covers important concepts in Bayesian probability modeling as well as estimation using both optimization and simulation-based strategies, using prior information to study random variables, estimate proportions, estimate mean, find linear regression lines. Furthermore, this course compare between Bayesian statistics and traditional statistical methods to help students identify their advantages and disadvantages.