University of Cambridge > Talks.cam > Wednesday Seminars - Department of Computer Science and Technology > A brief introduction to causal inference

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

A brief introduction to causal inference

Download to your calendar using vCal

If you have a question about this talk, please contact Ben Karniely .

What is a causal effect, and where can we find them? This talk will start from randomized controlled trials, why this (often) gives the quantity we want, and how the randomization aspect is important. This leads to a discussion about the difference between seeing versus doing, and the general problem of confounding, which can be seen in examples such as Simpson’s paradox. We will see that the problem of causal inference can be separated into two main questions – inferring the causal effect, and causal discovery. We look through some approaches for these two questions. We then briefly discuss how these ideas may help us think about predictive models.

Link to join virtually: https://cam-ac-uk.zoom.us/j/81322468305

This talk was not recorded.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Oatley Meeting Room 1, Engineering, Department of Pavilion B Meeting Room 9 MR9/Zoom

Other talks

Tea and Coffee Break Morning Tea and Coffee Online Causal Inference Seminar Sera Markoff Inaugural Lecture for the Plumian Professorship in Astronomy and Experimental Philosophy - 'Staring into the heart of darkness: from theory to the direct imaging of black holes' TBC Title TBC
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity