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)
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Hosts: Professor Christl Donnelly (University of Oxford), Professor Simon Myers (University of Oxford)
Part of: Florence Nightingale Annual Lecture
Booking required?: Required
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Cost: No charge
Audience: Members of the University only
Editor: Beverley Lane