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Department of Statistics

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Department of Statistics
The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, applied probability, bioinformatics and mathematical genetics. In the 2014 Research Excellence Framework (REF), Oxford's Mathematical Sciences submission was ranked overall best in the UK.
This is an exciting time for the Department. We have now moved into our new home on St Giles and we are currently settling in.

The new building provides improved lecture and teaching space, a variety of interaction areas, and brings together researchers in Probability and Statistics. It has created a highly visible centre for the Department in Oxford.

Since 2010, the Department has been awarded over forty research grants with a total value of £9M, not counting several very large EPSRC and MRC funded awards for Centres for doctoral training.The main sponsors are the European Commission, EPSRC, the Medical Research Council and the Wellcome Trust.

We offer an undergraduate degree (BA or MMath) in Mathematics and Statistics, jointly with the Mathematical Institute.

At postgraduate level there is an MSc course in Applied Statistics, as well as a lively and stimulating environment for postgraduate research (DPhil or MSc by Research). Our graduates are employed in a wide range of occupational sectors throughout the world, including the university sector.

The Department co-hosts the EPSRC and MRC Centre for Doctoral Training (CDT) in Next-Generational Statistical Science- the Oxford-Warwick Statistics Programme OxWaSP.

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Displaying 1 - 41 of 41 episodes
Episode Description People Date Captions
A Theory of Weak-Supervision and Zero-Shot Learning A lecture exploring alternatives to using labeled training data. Eli Upfal 9 June, 2022 Captions
Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction A high-level overview of key areas of AI ethics and not-ethics, exploring the challenges of algorithmic decision-making, kinds of bias, and interpretability, linking these issues to problems of human-system interaction. Max Van Kleek 6 April, 2022
The practicalities of academic research ethics - how to get things done A brief introduction to various legal and procedural ethical concepts and their applications within and beyond academia. Katherine Fletcher 5 April, 2022
Statistics, ethical and unethical: Some historical vignettes David Steinsaltz gives a lecture on the ethical issues in statistics using historical examples. David Steinsaltz 5 April, 2022
Joining Bayesian submodels with Markov melding This seminar explains and illustrates the approach of Markov melding for joint analysis. Robert Goudie 5 April, 2022
Neural Networks and Deep Kernel Shaping Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping. James Martens 5 April, 2022
Introduction to Advanced Research Computing at Oxford Andy Gittings and Dai Jenkins, deliver a graduate lecture on Advance Research Computing (ARC). Andy Gittings, Dai Jenkins 5 April, 2022
Ethics from the perspective of an applied statistician Professor Denise Lievesley discusses ethical issues and codes of conduct relevant to applied statisticians. Denise Lievesley 31 March, 2022
A Day in the Life of a Statistics Consultant Maria Christodoulou and Mariagrazia Zottoli share what a standard day is like for a statistics consultant. Maria Christodoulou, Mariagrazia Zottoli 31 March, 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo Lionel Riou-Durand gives a talk on sampling methods. Lionel Riou-Durand 31 March, 2022
Modelling infectious diseases: what can branching processes tell us? Professor Samir Bhatt gives a talk on the mathematics underpinning infectious disease models. Samir Bhatt 31 March, 2022
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021. Caroline Uhler 29 July, 2021
Recent Applications of Stein's Method in Machine Learning Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021. Qiang Liu 29 July, 2021
Do Simpler Models Exist and How Can We Find Them? Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. Cynthia Rudin 29 July, 2021
Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021 Aki Vehtari 29 July, 2021
Complexity of local MCMC methods for high-dimensional model selection Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021. Quan Zhou 2 July, 2021
Assessing Personalization in Digital Health Distinguished Speaker Seminar - Friday 18th June 2021, with Susan Murphy, Professor of Statistics and Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences. Susan Murphy 23 June, 2021
Machine Learning in Drug Discovery Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. Fergus Boyles 23 June, 2021
Several structured thresholding bandit problems OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). Alexandra Carpentier 23 June, 2021
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. Benjamin Guedj 28 May, 2021
Approximate Bayesian computation with surrogate posteriors Julyan Arbel (Inria Grenoble - Rhône-Alpes), gives an OxCSML Seminar on Friday 30th April 2021, for the Department of Statistics. Julyan Arbel 21 May, 2021
Introduction to Bayesian inference for Differential Equation Models Using PINTS Ben Lambert, Department of Computer Science, University of Oxford, gives the Graduate Lecture on Thursday 6th May 2021, for the Department of Statistics. Ben Lambert 21 May, 2021
On classification with small Bayes error and the max-margin classifier Professor Sara Van de Geer, ETH Zürich, gives the Distinguished Speaker Seminar on Thursday 29th April 2021 for the Department of Statistics. Sara Van de Geer 21 May, 2021
Convergence of Online SGD under Infinite Noise Variance, and Non-convexity Murat Erdogdu gives the OxCSML Seminar on Friday 12th March, 2021, for the Department of Statistics. Murat Erdogdu 21 May, 2021
Distribution-dependent generalization bounds for noisy, iterative learning algorithms Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. Karolina Dziugaite 17 March, 2021
Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery Professor Davina Durgana, award-winning international human rights statistician and professor with almost 15 years of experience developing leading global models to assess risk to modern slavery, gives a talk on their work on modern slavery. Davina Durgana 1 March, 2021
Veridical Data Science for biomedical discovery: detecting epistatic interactions with epiTree Bin Yu, Chancellor's Professor, Departments of Statistics and Electrical Engineering and Computer Science, UC Berkeley, gives a seminar for the Department of Statistics. Bin Yu 26 February, 2021
(Not) Aggregating Data: The Corcoran Memorial Lecture Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021. Kerrie Mengersen 5 February, 2021
Florence Nightingale Bicentennial Panel Session The Florence Nightingale Bicentennial Lecture was followed by a Panel Session with Professor Deborah Ashby, Professor David Cox and Professor David Spiegelhalter. The Panel was chaired by Professor Jennifer Rogers about the role of statistics in society Deborah Ashby, David Cox, David Spiegelhalter 5 February, 2021
Florence Nightingale and the politicians’ pigeon holes: using data for the good of society Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. Deborah Ashby, David Cox, David Spiegelhalter 7 January, 2021
Probabilistic Inference and Learning with Stein’s Method Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University). Lester Mackey 4 December, 2020
Introduction to Deep Learning and Graph Neural Networks in Biomedicine Dr. Ekaterina Volkova-Volkmar, Senior Data Scientist, pRED Informatics - Data Science, Roche Pharma Research and Early Development, Roche, Basel, Switzerland, gives a talk on deep learning and graph neural networks in biomedicine. Ekaterina Volkova-Volkmar 3 December, 2020
Looking back on 4 years in data science Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. Jonny Brooks-Bartlett 28 November, 2020
Black History Month: Exploring the Data Visualizations of W.E.B. Du Bois Jason Forrest, Director of Interactive Data Visualization, COVID Response Centre, McKinsey and Co, New York, gives the Department of Statistics Black History Month lecture, with a talk on the work of African-American scholar and activist W.E.B. Du Bois. Jason Forrest 23 October, 2020
The Science Media Centre and its work Fiona Lethbridge, Science Media Centre, gives a talk on the Science Media Centre and it's work. Fiona Lethbridge 24 June, 2020
How To Set Up Continuous Integration to Make Your Code More Robust, More Maintainable, and Easier to Publish Dr Fergus Cooper, Research Software Engineer, Oxford RSE Group, gives a talk for the department of Statistics on 5th June 2020. Fergus Cooper 10 June, 2020
Developing better code with automated testing Graham Lee, Research Software Engineer, Oxford RSE Group, gives talk for the department of Statistics on 22nd May 2020. Graham Lee 10 June, 2020
Cluster-Randomised Test Negative Designs: Inference and Application to Vector Trials to Eliminate Dengue Nick Jewell, University of California, Berkeley School of Public Health, gives a talk for the departmental of Statistics on 28th May 2020. Nick Jewell 10 June, 2020
MCMC for Hierachical Bayesian Models Using Non-reversible Langevin Methods Radford M. Neal (University of Toronto), gives a talk for the department of Statistics. Radford M Neal 10 June, 2020
Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus Providing a whirlwind tour of the quantitative analyses currently underway to understand the transmission and control of the novel coronavirus (2019-nCOV). Recorded on 31st January 2020. Christl Donnelly, Robin Thompson, Christophe Fraser 11 March, 2020
Bioinformatics at the heart of biology and genomics medicine The Ninth annual Florence Nightingale Lecture, given by Professor Dame Janet Thornton, European Bioinformatics Institute, Cambridge. Held on Thursday 21st April 2016. Dame Janet Thornton 27 April, 2016
Displaying 1 - 41 of 41 episodes

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