Course Catalog 2008-2009 Basic
Basic	Pori	International	Postgraduate	Open University
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Course Catalog 2008-2009

MAT-51706 Bayesian Methods, 6 cr

Course´s person responsible

Robert Piche

Implementations

Lecture times and places Target group recommended to

Implementation 1

Per 4, 5 :
Monday 9 - 11, Ta203
Wednesday 9 - 10, Ta203

Requirements

Exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

Objectives

Introduction to Bayesian 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

4. Decision theory.

Prerequisites

Course	O/R
MAT-20500 Todennäköisyyslaskenta	Obligatory
MAT-33310 Tilastomatematiikka	Recommended

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

More precise information per implementation

Description Methods of instruction Implementation

Implementation 1 Lectures Mondays 9-11 and Wednesdays 9-10 in room Ta203, first lecture 2.2.2009. Exercises Wed 10-12 in Ta203.

Last modified 19.09.2008

Modifier Robert Piche

	Lecture times and places	Target group recommended to
Implementation 1	Per 4, 5 : Monday 9 - 11, Ta203 Wednesday 9 - 10, Ta203

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
4.	Decision theory.

	Description	Methods of instruction	Implementation
Implementation 1	Lectures Mondays 9-11 and Wednesdays 9-10 in room Ta203, first lecture 2.2.2009. Exercises Wed 10-12 in Ta203.

Course Catalog 2008-2009 Basic

Course Catalog 2008-2009