M8BDA Bayesian Data Analysis with R and BUGS

Faculty of Science
Spring 2013
Extent and Intensity
10/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
Dr. Pablo Emilio Verde (lecturer), prof. RNDr. Ivanka Horová, CSc. (deputy)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: prof. RNDr. Ivanka Horová, CSc.
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Course outline
The course is intended as a first course in Bayesian data analysis. The course covers from basic Bayesian statistics to an introduction to hierarchical models. The course presentation is practical with many worked examples using the free statistical software R and WinBUGS.
Who should attend?
Students and data analyst with knowledge in statistical methods will benefit from this course. Participants should be familiar with some statistical concepts, preferably up to regression analysis.
Syllabus
  • Day 1
  • Lecture 1: Introduction to Bayesian Inference
  • Lecture 2: Bayesian analysis for single parameter models
  • Practical 1: Simple Bayesian Analysis with R
  • Lecture 3: Prior distributions: univariate
  • Day 2
  • Lecture 4: Bayesian analysis for multiple parameter models
  • Lecture 5: An introduction to WinBUGS
  • Practical 2: Statistical modeling with WinBUGS
  • Lecture 6: Multivariate models with WinBUGS
  • Day 3
  • Lecture 7: An introduction to MCMC computations
  • Lecture 8: Bayesian regression with WinBUGS
  • Practical 3: Regression Modeling with WinBUGS
  • Lecture 9: Introduction to Hierarchical Statistical modeling
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught only once.
The course is taught: in blocks.
General note: Výuka proběhne v týdnu od 22.4. do 26. 4.
The course is also listed under the following terms Spring 2024.
  • Enrolment Statistics (Spring 2013, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2013/M8BDA