MICHAELMAS TERM 2017
This lecture series now typically consists of three one and a half hour lectures in each of the following research areas: Computational Statistics; Probability and Bioinformatics/Mathematical Genetics.
The lectures are usually held on Thursdays from 3.30 pm – 5.00 pm in the Small Lecture Theatre (LG.03), Department of Statistics, 24-29 St Giles unless indicated otherwise.
WEEK 1: Thursday 12th October, 3.30 pm
Speaker: Professor Charlotte Deane, Professor Gesine Reinert, Department of Statistics, University of Oxford
Title: Active and Passive Presentations: how to present your work, and how to get the most out of seminars, lectures and poster sessions
WEEK 2: Thursday 19th October, 3.30 pm
Speaker: Geoff Nicholls, Department of Statistics, University of Oxford
WEEK 3: Thursday 26th October, 3.30 pm
WEEK 3: Friday 27th October, 12.00pm
WEEK 4: Thursday 2nd November, 3.30 pm
Speaker: Dr Ricardo Silva, Lecturer in Statistics, UCL
Title: Causal Inference, a Machine Learning Perspective
Abstract: In this exposition, we will discuss the common tools used in the machine learning community to describe causal assumptions and how this leads to particular ways of thinking concerning the estimation of causal effects. We will focus on two main case studies: how to combine data from observational and experimental studies; and how to criticise ways of adjusting for confounding in observational studies, given that background knowledge my be imperfect and hide default assumptions with unintended consequences.
WEEK 5: Wednesday 8th November, 3.30 pm, Large Lecture Theatre (LG.01)
The Tenth Florence Nightingale Lecture by Sir Andrew Dilnot CBE
Speaker: Sir Andrew Dilnot, Warden Nuffield College, Oxford
Title: Numbers and Public policy: Why statistics really matter
Abstract: Statistics abound in the discussion of public policy – politicians’ speeches, newspapers, radio, television and social media are full of numbers. It would be easy to think that the statistics didn’t really matter, that they are just being used to make arguments that have been decided on in advance and without any attention to the underlying facts. That may sometimes be true, but it is not something we can be happy with. Statistics and statistical thought have a great deal to contribute to public debate, and we should be vigorous in making the argument for them.
WEEK 6: Thursday 16th November, 3.30 pm
WEEK 7: Friday 24th November, 3.00 pm, Large Lecture Theatre (LG.01)
Corcoran Memorial Prize Award and Lecture
WEEK 8: Thursday 30th December, 2.00 pm, Small Lecture Theatre (LG.03)
Third year Graduate Talks