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Durham University

Research & business

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.


 

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Events for 10 February 2020

Arpit Das: The MMS Classification of 2D RCFTs and Beyond

12:00am, OC218

We shall discuss a method of classifying “2-character” 2D RCFTs based on the Modular Linear Differential Equations (MLDEs) that the characters of their respective partition functions satisfy. This method is popularly known as the MMS Classification. This method has helped not only in the classification of 2D RCFTs but has also given rise to new “2-character” 2D RCFTs which were not known before.

Contact Daniel Martin for more information about this event.


IAS Fellows' Seminar - The Physics of Capillary Assembly

1:00pm to 2:00pm, Seminar Room, Institute of Advanced Study, Dr Suzie Protiere (Institut Jean le Rond d’Alembert, Sorbonne University)

Contact enquiries.ias@durham.ac.uk for more information about this event.


Michail Papathomas: Parameter redundancy and the existence of maximum likelihood estimates in log-linear models, with applications to modern slavery data.

1:00pm, CM107

Log-linear models are typically fitted to contingency table data to describe and identify the relationship between different categorical variables. However, the data may include observed zero cell entries. The presence of zero cell entries can have an adverse effect on the estimability of parameters, due to parameter redundancy. We describe a general approach for determining whether a given log-linear model is parameter redundant for a pattern of observed zeros in the table, prior to fitting the model to the data. We derive the estimable parameters or functions of parameters and explain how to reduce the unidentifiable model to an identifiable one. Parameter redundant models have a flat ridge in their likelihood function. We discuss when this ridge imposes some additional parameter constraints on the model, which can lead to obtaining unique maximum likelihood estimates for parameters that otherwise would not have been estimable. In contrast to other frameworks, the proposed novel approach informs on those constraints, elucidating the model that is actually being fitted. We illustrate relevant methods by the analysis of modern slavery data, where the aim is to estimate the size of a hidden population.

Contact ellen.g.powell@durham.ac.uk for more information about this event.


Prof. Tobias Nicklas: Retelling the Origins: Stories about the Apostolic Past in Late Antiquity

3:30pm, Seminar Room C (D/TH107), Dept. of Theology & Religion, Abbey House, DH1 3RS, Durham

Contact francis.watson@durham.ac.uk for more information about this event.


IAS Fellow's Public Lecture - New light on the nature of dark matter after the recent, first detections of gravitational waves

5:30pm to 6:30pm, Birley Room, Hatfield College, Professor Nelson Padilla (Pontifical Catholic University of Chile)

Contact enquiries.ias@durham.ac.uk for more information about this event.