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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.

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.

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.

Oxford Mathematics Public Lecture. Jon Keating: From one extreme to another: the statistics of extreme events

Oxford University's Sedleian Professorship of Natural Philosophy is 400 years old in 2021.

Distribution-dependent generalization bounds for noisy, iterative learning algorithms

Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 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.

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.

(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.

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

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.

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).

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.

Mathematics Public Lecture: How Learning Ten Equations Can Improve Your Life - David Sumpter

Mathematics has a lot going for it, but David Sumpter argues that it can not only provide you with endless YouTube recommendations, and even make you rich, but it can make you a better person.

Oxford Mathematics Public Lectures: How to Make the World Add Up - Tim Harford

You have to sympathise with statistics. Misunderstood and misused when all they want to do is accumulate. What they need is a little human understanding. Tim Harford's Oxford Mathematics Public Lecture does just that.

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.

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.

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.

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.

MCMC for Hierachical Bayesian Models Using Non-reversible Langevin Methods

Radford M. Neal (University of Toronto), gives a talk for the department of Statistics.

Oxford Martin School: Public Lectures and Seminars

Better doctors, better patients, better decisions: Risk literacy in health

Can every doctor understand health statistics? Gerd Gigerenzer will describe the efforts towards this goal, a few successes, but also the steadfast forces that undermine doctors’ ability to understand and act on evidence.

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