Department of Statistics

Department of Statistics

Por: Oxford University
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.
41 episodios disponibles

Latest episodes of the podcast Department of Statistics

A Theory of Weak-Supervision and Zero-Shot Learning 09/06/2022
Victims of Algorithmic Violence: An Introduction to AI Ethics and Human-AI Interaction 06/04/2022
The practicalities of academic research ethics - how to get things done 05/04/2022
Statistics, ethical and unethical: Some historical vignettes 05/04/2022
Joining Bayesian submodels with Markov melding 05/04/2022
Neural Networks and Deep Kernel Shaping 05/04/2022
Introduction to Advanced Research Computing at Oxford 05/04/2022
Ethics from the perspective of an applied statistician 31/03/2022
A Day in the Life of a Statistics Consultant 31/03/2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo 31/03/2022
Modelling infectious diseases: what can branching processes tell us? 31/03/2022
Causality and Autoencoders in the Light of Drug Repurposing for COVID-19 29/07/2021
Recent Applications of Stein's Method in Machine Learning 29/07/2021
Do Simpler Models Exist and How Can We Find Them? 29/07/2021
Practical pre-asymptotic diagnostic of Monte Carlo estimates in Bayesian inference and machine learning 29/07/2021
Complexity of local MCMC methods for high-dimensional model selection 02/07/2021
Assessing Personalization in Digital Health 23/06/2021
Machine Learning in Drug Discovery 23/06/2021
Several structured thresholding bandit problems 23/06/2021
A primer on PAC-Bayesian learning *followed by* News from the PAC-Bayes frontline 28/05/2021
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