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3622348 Bayesian Inference 2, 5 Cp 
Code 3622348  Validity 01.01.1950 -
Name Bayesian Inference 2  Abbreviation BAY2 
Credits5 Cp  Date of expiry  
TypeIntermediate Studies Subject0390 Statistics 
ClassStudy Unit  Hours  
Study right   Grading0-5 
Recommended scheduling 
Organisation Computer Science (J,K) 


Bayesian inference in machine learning. Predictive inference and Bayesian classification methods (logistic and multinomial regression). Graphical models and applications to different statistical modeling tasks. Estimating posterior distributions with different deterministic techniques.

Modes of study 

Contact teaching includes lectures and exercises given from Joensuu. These are transmitted via video to Kuopio. Included into exercises is also one bigger task, where students will use their own data.

Teaching methods 

Lectures (28 h), exercises (12 h), independent work (93 h)

Study materials 

Bishop, Machine Learning and Pattern Recognition, 2007, Springer Verlag.

Additional material: Marin-Robert, Bayesian Core, A Practical Approach to Computational Bayesian Statistics, 2007. Murphy, Machine Learning a Probabilistic Perspective, 2012, The MIT Press.  Geisser, Predictive Inference: An Introduction, 2nd edition, 1993, CRC press.

Evaluation criteria 

The grading scale of the course is 0-5.  It is based on the performance in the graded exercises.  Alternatively, the grade is based on the final exam only.


Probabilistic inference for data science 1 and 2, R-course, or corresponding knowledge, and Bayes inference 1


Spring 2021

Offering data 

Course is open to anyone. No restrictions in the number of participants. Useful also for PhD students who need statistical methods in their research

Further information 

Teaching language: English


Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.

Present and future teaching
No teaching

Future exams
No exams