COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Statistics > What's the right complexity measure for inferring causal relations?

## What's the right complexity measure for inferring causal relations?Add to your list(s) Download to your calendar using vCal - Dominik Janzing (Max Planck Institute Tuebingen)
- Friday 26 February 2010, 15:30-16:30
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.
If you have a question about this talk, please contact rbg24. If X causes Y for two random variables X and Y, we expect that the
factorization of P(X,Y) into P(X)P(Y|X) is simpler than the Discussions have shown that a lot of researchers agree on this intuition. Since we would like to use this principle for inferring causal directions, we are left with two problems: (1) what does “simple” mean? (2) is there any deeper justification for this principle? Our answer to question (2) is a clear “yes” if complexity vs simplicity
is measured in terms of Kolmogorov complexity: I will present a theory
of causal inference that generalizes the framework of Bayesian networks
to I will present some first small steps towards this challenging goal. http://www.kyb.mpg.de/~janzing This talk is part of the Statistics series. ## This talk is included in these lists:- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Chris Davis' list
- DPMMS Lists
- DPMMS info aggregator
- DPMMS lists
- Guy Emerson's list
- Hanchen DaDaDash
- Interested Talks
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
- Machine Learning
- School of Physical Sciences
- Statistical Laboratory info aggregator
- Statistics
- Statistics Group
- bld31
- custom
- rp587
Note that ex-directory lists are not shown. |
## Other listsThe Marshall Society Eurocrisis Conference 14-15 June CMS Events## Other talksExploring the mechanisms of haematopoietic lineage progression at the single-cell level Universality in Active Matter Behavioural phenotypes of children born preterm: what we know and future research avenues Climate Change Uncertainty, Adaptation, and Growth Girton College 57th Foundersâ€™ Memorial Lecture with Hisham Matar: Life and Work Characterizing Immunogenetic Mechanisms through HIV Disease Analysis |