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December 2017
  • 08 Dec - 11 Dec 17

    It All Adds Up is an annual Maths conference for girls hosted by the Mathematical Institute and the Department of Statistics. There are three days: two for girls in Years 9-11 on 8th and 9th January, and one for for girls in Year 12-13 on 11th January. More details on the event webpage: www.maths.ox.ac.uk/r/ItAllAddsUp

November 2017
  • 27 Nov 17
    Speaker: Eleonora Kreacic, Department of Statistics, Oxford
  • 27 Nov 17
    Corcoran Memorial Prize Award and Lecture.  Book your place here. Speaker:  Professor Steffen Lauritzen, Department of Mathematical Sciences, University of Copenhagen Title:        Maximum likelihood estimation in Gaussian models under total positivity Abstract: The problem of maximum likelihood es...
  • 20 Nov 17
    Speaker: Nic Freeman, Sheffield
  • 16 Nov 17
    Speaker:  Jen Rogers, Department of Statistics, University of Oxford Time: 3.30pm Abstract:  Jen took on the role of Director of Statistical Consultancy Services within the Department in July last year. In this talk she will be presenting her experiences of the job, talking about what is like to work with industry on a consultancy basis and professional aspects associated with the role. She will go through case studies of ...
  • 13 Nov 17
    Speaker:  Andreas Kyprianou, Bath Abstract: We analyse a class of fragmentation-coalescence processes defined on finite systems of particles organised into clusters. Coalescent events merge multiple clusters simultaneously to form a single larger cluster,  while fragmentation breaks up a cluster into a collection of singletons. Under mild conditions on the coalescence rates, we show that the distribution of cluster sizes becomes non-random in the...
  • 08 Nov 17

    Speaker: Sir Andrew Dilnot, Warden of Nuffield College, Oxford

    Title: Numbers and public policy: What statistics really matter

    Abstract: Statistics abound in the discussion of public policy – politicians’ speeches, newspapers, radio, television...

  • 06 Nov 17
    Speaker:  Gesine Reinert, Department of Statistics, Oxford
  • 02 Nov 17
    Speaker: Dr Ricardo Silva, Lecturer in Statistics, UCL Time: 3.30pm 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...
October 2017
  • 30 Oct 17
    Speaker:  Costanza Benassi, Department of Mathematics, Warwick Abstract:  Random loop models appear in a great variety of situations in both the probability and mathematical physics literature. Recently some striking conjectures have been suggested about the appearance of extended loops and the distribution of their lengths, which is expected to be a member of the Poisson Dirichlet distribution family.  We propose a general class of models for i...