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Talk 5: Textiles and text: A collaborative approach to conserving textile-covered manuscripts

Series
Textiles in Libraries: Context & Conservation series
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Conservators Jane Eagan and Maria Hayward describe their work treating seven manuscripts re-covered in velvet for Henry VIII, part of a small corpus of royal books still in their textile bindings in the Queens College Library
The Queen's College Library, University of Oxford, has seven manuscripts re-covered in red or black velvet for Henry VIII, part of a small corpus of royal books still in their textile bindings. This unusual part of the college's collection was conserved by Jane Eagan and Maria Hayward between 2002–9. In their talk for Textiles in Libraries: Conservation and Context, they will describe the velvet textiles used, how the Tudor binders re-covered the manuscripts, and how they worked together to achieve the treatment aims. The Queen's project opened up an area of investigation that Eagan and Hayward continue to explore through related work on objects that combine textiles and text.

Episode Information

Series
Textiles in Libraries: Context & Conservation series
People
Jane Eagan
Maria Hayworth
Alice Evans
Keywords
book conservation
textiles
henry viii
book binding
velvet textiles
Department: Bodleian Library
Date Added: 05/04/2022
Duration: 00:53:51

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Mariagrazia Zottoli

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Maria Christodoulou

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Lionel Riou-Durand

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Ethics from the perspective of an applied statistician

Series
Department of Statistics
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Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians.
Statisticians work in a wide variety of different political and cultural environments which influence their autonomy and their status, which in turn impact on the ethical frameworks they employ. The need for a UN-led fundamental set of principles governing official statistics became apparent at the end of the 1980s when countries in Central Europe began to change from centrally planned economies to market-oriented democracies. It was essential to ensure that national statistical systems in such countries would be able to produce appropriate and reliable data that adhered to certain professional and scientific standards. Alongside the UN initiative, a number of professional statistical societies adopted codes of conduct.

Do such sets of principles and ethical codes remain relevant over time? Or do changes in the way statistics are compiled and used mean that we need to review and adapt them? For example as combining data sources becomes more prevalent, record linkage, in particular, poses privacy and ethical challenges. Similarly obtaining informed consent from units for access to and linkage of their data from non-survey sources continues to be challenging. Denise draws on her earlier role as a statistician in the United Nations, working with some 200 countries, to discuss some of the ethical issues she encountered then and how these might change over time.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Department of Statistics
People
Denise Lievesley
Keywords
ethics
conduct
applied statistician
standards
statistics
Department: Department of Statistics
Date Added: 31/03/2022
Duration: 00:39:49

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A Day in the Life of a Statistics Consultant

Series
Department of Statistics
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Maria Christodoulou and Mariagrazia Zottoli share what a standard day is like for a statistics consultant.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Department of Statistics
People
Maria Christodoulou
Mariagrazia Zottoli
Keywords
statistics
consultant
day in the life
experience
Department: Department of Statistics
Date Added: 31/03/2022
Duration: 00:40:19

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Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo

Series
Department of Statistics
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Lionel Riou-Durand gives a talk on sampling methods.
Sampling approximations for high dimensional statistical models often rely on so-called gradient-based MCMC algorithms. It is now well established that these samplers scale better with the dimension than other state of the art MCMC samplers, but are also more sensitive to tuning. Among these, Hamiltonian Monte Carlo is a widely used sampling method shown to achieve gold standard d^{1/4} scaling with respect to the dimension. However it is also known that its efficiency is quite sensible to the choice of integration time. This problem is related to periodicity in the autocorrelations induced by the deterministic trajectories of Hamiltonian dynamics. To tackle this issue, we develop a robust alternative to HMC built upon Langevin diffusions (namely Metropolis Adjusted Langevin Trajectories, or MALT), inducing randomness in the trajectories through a continuous refreshment of the velocities. We study the optimal scaling problem for MALT and recover the d^{1/4} scaling of HMC without additional assumptions. Furthermore we highlight the fact that autocorrelations for MALT can be controlled by a uniform and monotonous bound thanks to the randomness induced in the trajectories, and therefore achieves robustness to tuning. Finally, we compare our approach to Randomized HMC and establish quantitative contraction rates for the 2-Wasserstein distance that support the choice of Langevin dynamics. This is a joint work with Jure Vogrinc, University of Warwick.
Creative Commons Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK (BY-NC-SA): England & Wales; https://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
Department of Statistics
People
Lionel Riou-Durand
Keywords
mathematics
sapling
statistical models
methods
malt
hamiltonian monte carlo
hmc
Department: Department of Statistics
Date Added: 31/03/2022
Duration: 00:56:00

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Modelling infectious diseases: what can branching processes tell us?

Series
Department of Statistics
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Professor Samir Bhatt gives a talk on the mathematics underpinning infectious disease models.
Mathematical descriptions of infectious disease outbreaks are fundamental to understanding how transmission occurs. Reductively, two approaches are used: individual based simulators and governing equation models, and both approaches have a multitude of pros and cons. This talk connects these two worlds via general branching processes and discusses (at a high level) the rather beautiful mathematics that arises from them and how they can help us understand the assumptions underpinning mathematical models for infectious disease. This talk explains how this new maths can help us understand uncertainty better, and shows some simple examples. This talk is somewhat technical, but focuses as much as possible on intuition and the big picture.

Episode Information

Series
Department of Statistics
People
Samir Bhatt
Keywords
mathematics
disease
public
Health
machine
learning
branching
mathematical modelling
Department: Department of Statistics
Date Added: 31/03/2022
Duration: 00:59:22

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Thomas Newhall

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Stephanie Balkwill

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