Computational statistics, spring 2014

Lecturer

Petri Koistinen
 

Scope

8 sp.

Type

Advanced studies

Prerequisites

Basic probability theory (some familiarity of working with more than one random variables is assumed). Basic knowledge about vector and matrix operations. Some exposure to Bayesian inference would be beneficial. Some experience in computer programming would also be helpful.

Lectures

Weeks 3-9 and 11-18, Monday 10-12 and Wednesday 12-14 in room B120.

Easter holiday 17.-23.4.

Exams

Bibliography

Registration

 
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