BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:A brief introduction to causal inference - Dr Apinan Hasthanasomba
 t - Visiting academic at the Department of Computer Science and Technology
 \, University of Cambridge
DTSTART:20231129T150500Z
DTEND:20231129T155500Z
UID:TALK204517@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:What is a causal effect\, and where can we find them? This tal
 k will start from randomized controlled trials\, why this (often) gives th
 e quantity we want\, and how the randomization aspect is important. This l
 eads to a discussion about the difference between seeing versus doing\, an
 d 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 c
 an be separated into two main questions - inferring the causal effect\, an
 d causal discovery. We look through some approaches for these two question
 s. We then briefly discuss how these ideas may help us think about predict
 ive models.\n\nLink to join virtually: https://cam-ac-uk.zoom.us/j/8132246
 8305\n\nThis talk was not recorded.\n
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
END:VEVENT
END:VCALENDAR