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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) 

Description
Content 

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 

Exercises

 
Teaching methods 

Lectures (28 h), exercises (12 h)

 
Study materials 

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

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 

0-5

 
Prerequisites 

Recommended previous courses are introduction to statistical inference 1 & 2 or complementary knowledge and Bayes inference 1.

 


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