KTH Mathematics |

A Graduate Course: Statistical Genetics and Bayesian Networks (7.5 p) FSF 39xx This course is of interest for geneticists, statisticians and computer scientists who work with,e.g., modelling of highly complex systems, genetic regulatory networks and genetic data analysis and need understanding of statistical models using probabilities factorized according to directed acyclic graphs (DAGs) and the algorithms for the updating of probabilistic uncertainty in response to evidence, and statistical learning of model parameters and structures.
- Causality and directed acyclic graphs, and d-separation, conditional independence
- Markov properties for directed acyclic graphs and faithfulness.
- Learning about probabilities
- Structural learning; MDL
- Causality and intervention calculus
- R.E. Neapolitan: Probabilistic methods for bioinformatics with an application to Bayesian Networks.Morgan and Kaufman 2009. It may be ordered from amazon.co.uk here
- T. Koski & J.Noble: Bayesian Networks and Causal Probability Calculus. 2009.Bayesian Networks: An Introduction (2009) published by Wiley. It may be ordered from amazon.co.uk here
THE COURSE FLYER : click FIRST LECTURE: THURSDAY 8th of April HOMEWORK SET 1. click SECOND LECTURE: TUESDAY 13th of April HANDOUT click HOMEWORK SET 2. click THIRD LECTURE: THURSDAY 22ND of April HOMEWORK SET 3. click FOURTH LECTURE: THURSDAY 29ND of April , 13.15, room 3733, dept. of math. HOMEWORK SET 4. click FIFTH LECTURE: TUESDAY 4TH of May, , 10.15, room 3733, dept. of math. HOMEWORK SET 5. click HANDOUT ON LEARNING click SIXTH LECTURE: TUESDAY 11TH of May, 10.15, room 3733, dept. of math. HOMEWORK SET 6. clickSEVENTH LECTURE: THURSDAY 20TH of May, 13.15, room 3733, dept. of math. HOMEWORK SET 7. clickEIGHTH (final) LECTURE: THURSDAY 27TH of May, 13.15, room 3733, dept. of math. HOMEWORK SET 8. clickNINTH (presentations) LECTURE: (to be announced), 13.15, room 3733, dept. of math. Course schedule and information Timo Koski Lecturer and Examiner Address: Department of Mathematics Royal Institute of Technology SE-100 44 Stockholm Sweden Email: tjtkoski@kth.se Phone: +46-8-790 71 34 Office: 3444 |

Published by: Timo Koski Updated: 30/8-2007 |