Causal learning from observational data
This talk will be held both in person and online.
I will discuss a line of work on estimating causal effects from observational data. In the first part of the talk, I will discuss identification and estimation of causal effects when the underlying causal graph is known, using adjustment. In the second part, I will discuss what one can do when the causal graph is unknown. Throughout, examples will be used to illustrate the concepts and no background in causality is assumed.
Date:
3 February 2023, 15:30 (Friday, 3rd week, Hilary 2023)
Venue:
24-29 St Giles', 24-29 St Giles' OX1 3LB
Venue Details:
Large Lecture Theatre, Department of Statistics
Speaker:
Professor Marloes Maathuis (ETH, Zurich)
Organising department:
Department of Statistics
Organisers:
Beverley Lane (Department of Statistics, University of Oxford),
Professor Simon Myers (University of Oxford)
Organiser contact email address:
events@stats.ox.ac.uk
Hosts:
Professor Christl Donnelly (University of Oxford),
Professor Simon Myers (University of Oxford)
Part of:
Florence Nightingale Annual Lecture
Booking required?:
Required
Booking url:
https://www.stats.ox.ac.uk/events/florence-nightingale-lecture-2023
Booking email:
events@stats.ox.ac.uk
Cost:
No charge
Audience:
Members of the University only
Editor:
Beverley Lane
