Course Catalog 2009-2010
International

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

MAT-51706 Bayesian Methods, 6 cr

Person responsible

Robert Piche

Implementations

  Lecture times and places Target group recommended to
Implementation 1

Periods 4 4 - 5

 
 


Requirements

Exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

Introduction to Bayesian statistical data-analysis theory and applications.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Probability theory basis of Bayesian methods.     
2. Data analysis: inference, parameter estimation, regression, model comparison     
3. Numerical methods, MCMC   The WinBUGS software package   
4. Decision theory.     


Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Other online content     Robert Piche       Video-lectures (flash), course notes, exercises (pdf)      English  


Prerequisites

Course Mandatory/Advisable Description
MAT-20500 Probability Calculus Mandatory    

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
MAT-51706 Bayesian Methods, 6 cr MAT-51700 Bayesian Analysis, 6 cr  

Additional information

Lectured at most every second year, not lectured in 2009-10. Lecture videos from 08-09 are available on the net for self-study.

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1 Lectured at most every second year, not lectured in 2009-10. Lecture videos from 08-09 are available on the net for self-study.        


Last modified13.03.2009
ModifierRobert Piche