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Research lectures, seminars and events

The events listed in this area are research seminars, workshops and lectures hosted by Durham University departments and research institutes. If you are not a member of the University, but  wish to enquire about attending one of the events please contact the organiser or host department.


February 2018
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Events for 26 February 2018

'Hell, Heaven and Hope. A journey through life and the afterlife with Dante', Exhibition curated by Dr Annalisa Cipollone

9:00am to 11:55pm, Palace Green Library, Durham University

Contact for more information about this event.

WRIHW Early Career Researcher Impact in Research Event

12:00pm to 2:00pm, Collier Room, St Hild & St Bede College, Leazes Road, Durham, Dr Victoria Money, Senior Impact and Engagement Manager

Contact for more information about this event.

IAS Fellow's Seminar - Settlement Scaling Theory and Pre-Roman Central Italy: quantitative and comparative approaches to ancient urbanism

1:00pm to 2:00pm, Seminar Room, Institute of Advanced Study, Dr Francesca Fulminante (University of Roma Tre)

Contact for more information about this event.

Richard Everitt: ABC for expensive simulators

2:00pm, CM221

Approximate Bayesian computation (ABC) is now an established technique for statistical inference in the form of a simulator, and approximates the likelihood at a parameter θ by simulating auxiliary data sets x and evaluating the distance of x from the true data y. Synthetic likelihood is a related approach that uses simulated auxiliary data sets to contract a Gaussian approximation to the likelihood. However, these approaches are not computationally feasible in cases where using the simulator for each θ is very expensive. This talk investigates two alternative strategies for inference in such a situation. The first is delayed acceptance ABC-SMC (, in which a cheap simulator is used to rule out parts of the parameter space that are not worth exploring. The second is bootstrapped synthetic likelihood (, which uses the bootstrap to cheaply estimate the synthetic likelihood. We also examine a synthetic likelihood approximation that is constructed, using the bag of little bootstraps, from subsampled data sets. Applications to stochastic differential equation models and doubly intractable distributions will be presented.

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Prof. Lewis Ayres: Rethinking the “Rule of Truth”

4:15pm, Seminar Room C (D/TH107), Dept. of Theology & Religion, Abbey House, DH1 3RS, Durham

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