An EPSRC-sponsored workshop on inverse problems will take place next
Monday and Tuesday afternoons, 30 November and 1 December, at the
International Centre for Mathematical Sciences (ICMS), 15 South College
Street, Edinburgh.
The aim is collaborative work for the identification of problems in the
application areas which would benefit from advanced statistical analysis
and modelling in order
to obtain new insights. The objectives are the encouragement of creative
thinking, the initial
development of projects around the challenges for the research areas and
the creation of internal
research days in the application areas in order to assist with the
development of collaborative links
across the university, other Alan Turing Institute partners, other HEIs
and hence to industry.
Statistical inverse problem refers to inference for an unknown object
(e.g. a function or an image) which is observed indirectly, and Bayesian
modelling is predominantly used to solve it as a principled way to
incorporate available a priori information. Mathematical and statistical
challenges are to create efficient and reliable computational methods as
well as to specify a family of prior distributions that leads to the
smallest possible error of the solution. Dynamical linear and nonlinear
inverse problems are a novel challenge in statistics and require novel
techniques, both modelling and computational.
Current Programme is available at
http://www.maths.ed.ac.uk/~nbochkin/EPSRC_inverseproblems_workshop.htm
The workshop attendance is free but registration is required for
catering purposes. If you would like to participate in the meeting,
please contact Audrey McCrorie ([log in to unmask]).
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