• Workshop in "Scalable Bayesian Inference in Applied fields" and Stan Course
    22 Jul, 2019
    Imperial College London
    Imperial College London, South KEnsington
    Electrical and Electronic Engineering, Building Room 508
    SW7 2BS
    United Kingdom
    More Information:

    Aims and scope

    The workshop bringing together, on the one hand, statisticians, computer scientists, and mathematicians and on the other hand applied researchers (especially focusing on epidemiology and public health) with a focus on three interrelated questions:

    1. What is the current practice? How do applied researchers use Bayesian methods, what are the inferential questions they ask and what are the types of scientific and statistical conclusions they want to draw?
    2. What is the methodological state-of-the-art? Which computational methods, e.g. for MCMC or approximate Bayesian inference, do the statisticians (and mathematicians and computer scientists) recommend in practice and why? Should theory guide the answer to these questions? Methodological insights? Under what framework? Is there a role for frequentist analysis of Bayesian methods? Proper scoring rules?
    3. What challenges are there for the future? What problems can applied researchers not currently solve, and are they fundamentally statistical, computational, or philosophical? What problems are methodological and theory researchers working on, for which real, applied problems and datasets could be useful to motivate further development?

    For further information and booking plesase go to Event Booking

  • Geographic Information Systems (GIS) for Public Health 2019
    Dr Daniela Fecht
    08 Jul, 2019 to 12 Jul, 2019
    UK Small Area Health Statistics Unit
    St Mary's Campus
    W2 1PG
    United Kingdom
    More Information:

    The UK Small Area Health Statistics Unit is to run again its highly successful workshop on GIS for Public Health July 8-12, 2019.
    The course offers an introduction to GIS and how it is used in public health and epidemiological research. You will learn how to use GIS to prepare and analyse data for studies of environment and health, use GIS to assess exposures to environmental pollution, and explore and analyse patterns and spread of disease.
    Specific skills and tools will be introduced in relation to assessing exposure to a range of environmental risks, and a particular focus will be given to methods for linking geographical and health data for epidemiological studies and health risk assessment.
    For more information and how to register please see the website https://www.imperial.ac.uk/school-public-health/study/short-courses/gis-... or contact the course director Daniela Fecht (d.fecht@imperial.ac.uk) for more information.