Bayesian Statistics and Computing
Lecture 0: Course Introduction
Yanfei Kang | BSC | 2021 Spring
General information
Credits: 2 credits
Lecturer: Yanfei Kang. For now, you can know me better via my personal webpage: http://yanfei.site.
Language: Taught in Chinese. Materials are in English.
Computer language: R
Reception hours: Questions concerned with this course can be asked via email: yanfeikang@buaa.edu.cn.
Lecture notes: available on on https://yanfei.site/teaching/bsc2021.
References
Advanced statistical computing. Roger Peng. 2018.
R programming for data science. Roger Peng. Leanpub. 2019.
Further reading
Introduction to scientific programming and simulation using R. Owen Jones, Robert Maillardet, Andrew Robinson. 2nd Edition. CRC press. 2014. ISBN: 9781466569997.
Unit objectives
Unit objectives
Learn R programming for data science.
Master optimization tools.
Understand Bayesian methods and computing.
Learn about advanced topics with applications, such as computational linear algebra techniques including eigenanalysis and singular value decomposition, and their applications.
Examinations
- Assignments (labs): 50%
- Final exam: 50%
About assignments
Please use course center for assignment submission.
Only one single pdf or html file is acceptable. I recommend you write your assignments using Rmarkdown, a productive notebook interface to weave together narrative text and code to produce elegantly formatted output.
Use meaningful file names.